SMB Digest Volume 18 Issue 19

May 9, 2018
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Issue’s Topics:

from: Ruediger Thul <>
date: Fri, May 4, 2018 at 10:19 AM
subject: Workshop: Spatial Cell Signalling, 30 May, University of Nottingham

The programme for the seventh Mathematics in Life Sciences (MiLS) meeting is
now available at The meeting will focus on “Spatial cell
signalling” and will take place on 30 May 2018 from 11am to 5pm at the
University of Nottingham.

The workshop will bring together researchers working at the interface of
mathematical, modelling, and biological aspects of spatially-extended cell
signalling. We are broadly interested in models where signalling cascades are
spatially distributed either at the sub-cellular or cellular level. Studying
these models naturally requires techniques from multi-scale analysis to resolve
the biologically relevant scales and dynamics. Examples include the formation
of single-cell polarity, intracellular morphogenesis, changes in cell shapes,
membrane dynamics, and signalling microdomains.
We hope to see you in Nottingham.

from: <>
date: Mon, May 7, 2018 at 6:44 PM
subject: Keystone Symposia Series and Upcoming Travel Award Deadlines


from: Edgar Delgado-Eckert <>
date: Thu, May 3, 2018 at 9:57 AM
subject: Data analyst/developer: project in Computational Physiology

Data analyst/developer for project in Computational Physiology – (50% part-time

The University Children’s Hospital at University of Basel is offering a data
analyst/developer position within the Computational Physiology and
Biostatistics Group, led by Dr. Edgar Delgado-Eckert. Start date is July 2nd
2018. A later start date is negotiable.

One of the main current research activities in our research group is the
analysis of time series of physiological signals, such as cardiac activity,
body temperature, movement patterns, and several lung function parameters. The
mathematical and statistical analysis of these time series is aimed at
developing new quantitative approaches of diagnostic, and/or prognostic value
in a clinical setting, as well as at conducting epidemiological studies within
different cohorts.

The mathematical and computational methodologies commonly applied in our
research group comprise techniques borrowed from nonlinear dynamics, such as
the largest Lyapunov exponent, and from statistics and information theory,
including sample entropy, and long range correlations revealed by detrended
fluctuation analysis. Moreover, classification and pattern recognition
techniques commonly utilized in Machine Learning belong to our daily work

Job Description
Within a 3 year project the candidate is expected to develop and maintain a
computational platform capable of analyzing time series in real time as they
are retrieved from a patient monitoring device. Furthermore, the data obtained
need to be properly stored, formatted, and managed for subsequent statistical

Profile requirements
. Master’s degree in Computer Science, Informatics, or Bioinformatics.
. Good programming skills in C/C++ and Java, and some experience with the
environments „Matlab ® “ and „R“.
. Knowledge of data bases and data base maintenance/management.

How to apply
Applications should include a curriculum vitae and three letters of reference.
Please send application documents by email (with “computational physiology” in
the subject line) to

from: Fabio Luciani <>
date: Wed, May 2, 2018 at 6:50 PM
subject: Postdoc: Bioinformatics and Systems Immunology, U New South Wales

Postdoctoral research position in Bioinformatics and Systems Immunology

This is an exciting opportunity for postdocs that wish to pursue an academics
career in interdisciplinary environment and work on single cell multi-omics in
immunology and virology. We are seeking a talented researcher with a background
in quantitative disciplines, ideally Computational Biology, Bioinformatics,
Mathematics, Physics, Statistics to join an interdisciplinary and vibrant
research group at Kirby Institute, University of New South Wales, Sydney

The Viral Immunology Systems Program (VISP) is a collaborative team of
clinicians and scientists encompassing the clinical disciplines of infectious
diseases and epidemiology, as well as translational studies in the disciplines
of immunology, virology, and systems biology (bioinformatics, statistics and
mathematical modelling). This position will focus on the development and
application of bioinformatics and statistical approaches (including machine
learning approaches) for analysing and interpreting single cell (scRNAseq),
flow cytometry, and epigenetics data (ATAC-seq) of immune cells. This novel
systems approach is currently being applied to the study of immune responses
against viral infections (HCV, influenza), and adoptive cell transfer
immunotherapies, such as CAR T-cells. For more details please contact
Associate Professor Fabio Luciani

For more details visit

from: Catherine Crawley <>
date: Wed, May 2, 2018 at 3:06 PM
subject: Postdoc: Species Distribution Modeling and Conservation, NIMBioS

Since 2009, the National Institute for Mathematical and Biological Synthesis
(NIMBioS) has provided opportunities for postdoctoral scholarship at the
interface between mathematics and the biological sciences. Targeted
Postdoctoral Fellowships at NIMBioS provide support for specific research
questions on projects directed by faculty at the University of Tennessee,
Knoxville. NIMBioS announces two new Targeted Postdoctoral Fellowships.
Targeted Postdoctoral Fellowship in Species Distribution Modeling and

Applications are currently being accepted for a postdoctoral position in
species distribution modeling and conservation at NIMBioS and in the Department
of Ecology & Evolutionary Biology at the University of Tennessee, Knoxville.
This is a full-time, one year position.

The postdoctoral fellow will work with UT faculty (Paul Armsworth, Xingli Giam
and Mona Papeş) as part of an interdisciplinary team researching how to account
for the combined effects of land use change and climate change when designing
conservation strategies for the Appalachian region. The postdoc will help
collate relevant data on current species distributions, future climate
scenarios and other variables to estimate projected shifts in species
distributions within the Appalachian region. The individual will work with
others to integrate resulting biodiversity data with data from other project
components focused on modeling land use change in optimization analyses
intended to inform future land protection strategies. This work will provide
the individual with experience of a range of interdisciplinary techniques and
approaches relevant to conservation science.

The postdoc will join a community of postdoctoral scholars at NIMBioS and UT
Knoxville’s ecology program, one of the top 10 percent of ecology units in the
U.S. UT-Knoxville is a vibrant campus located in the foothills of the Smoky
Mountains. Within the U.S., the region is a hotspot for biodiversity and is
projected to lie at the forefront of future efforts to conserve US species in a
changing climate.

Applicants for the position should have a PhD in Biology, Ecology,
Environmental Sciences, Geography or other relevant discipline, strong
quantitative and computational skills, and proficiency in English. Experience
with GIS and analysis of spatial ecological data are essential.
Review of applications will begin May 14, 2018 and continue until the position
is filled. Ideal start date: September 1, 2018.
For more information and the online application, visit

from: Catherine Crawley <>
date: Thu, May 3, 2018 at 3:23 PM
subject: Postdoc: Spatial Biology, NIMBIOS

Call for Applications: Targeted Postdoctoral Fellowship in Spatial Biology

Applications are currently being accepted for a targeted postdoctoral position
in spatial biology in the Spatial Analysis Lab (SAL
at the National Institute for Mathematical and Biological Synthesis (NIMBioS)
in collaboration with the Department of Ecology & Evolutionary Biology (EEB) at
the University of Tennessee at Knoxville. This is a full-time, two-year
position, with the potential for a limited-time-period renewal.

Since 2009, NIMBioS has provided opportunities for postdoctoral scholarship at
the interface between mathematics and the biological sciences. Targeted
Postdoctoral Fellowships at NIMBioS provide support for specific research
questions on projects directed by faculty at the University of Tennessee,

The postdoctoral fellow will integrate remote sensing tools with publicly
available data to answer interdisciplinary topics in Global Environmental
Change (with possible foci in macroecology, physiology, and environmental
sociology and economics). The fellow will be expected to participate in and
contribute to NIMBioS activities. Technical remote sensing expertise is
required, specifically experience in data-fusion techniques and in working with
multiple types of remotely sensed data (multispectral + hyperspectral or
multispectral + radar or multipectral + lidar, etc.). The most competitive
candidates would have had experience collating, processing, and analyzing large
datasets (e.g., biodiversity, physiology, climate, agriculture/land-use,
economic trade) at the regional and/or global scale(s) and have published some
of this work in leading peer-reviewed journals. The postdoctoral fellow will be
mentored by Xingli Giam (EEB), Monica Papeş (EEB and SAL), and Kimberly Sheldon

Review of applications will begin 14 May 2018 and continue until the position
is filled. Start date flexible, but not later than 31 August 2018.

For more information and the online application, visit . Additional Targeted
Postdoctoral Positions are listed on the web page.

from: Owens, Roland (NIH/OD) [E] <>
sent: Friday, May 4, 2018 6:54 PM
resent-from: Mejia, Raymond (NIH/NHLBI) [E] <>
subject: Selected NIH Intramural Research and other job openings-May 2018

Staff Scientist
Metabolic Epidemiology Branch, NCI-DCEG
(deadline: May 15)

The Division of Cancer Epidemiology and Genetics (DCEG), National Cancer
Institute (NCI), National Institutes of Health (NIH), is recruiting a Staff
Scientist in the Metabolic Epidemiology Branch (MEB). MEB conducts
interdisciplinary research to understand the role of diet, energy balance,
hormones, tobacco, and other exposures in causing and preventing cancer. MEB
researchers study how these exposures relate to a broad variety of cancers with
researchers focusing on breast, colon, endometrium, esophagus, liver, stomach,
ovary, pancreas, and prostate. MEB researchers use traditional epidemiological
methods combined with a variety of molecular methods including genomic
analysis, metabolomics, microbiomics, and molecular pathology. The overarching
mission of MEB is to conduct collaborative high-impact epidemiological research
on metabolic and lifestyle causes of cancer that will guide prevention
strategies worldwide.

The Staff Scientist, working under the direction of a Senior Investigator
within the MEB, will have responsibilities related to all aspects of MEB’s
breast cancer research program, as well as other related projects. Specific
duties will include assisting with study design (developing protocols,
questionnaires, specimen handling procedures), management (data coding and
cleaning, specimen tracking, human subjects’ approvals), statistical analysis,
and preparation of reports for presentation or publication. Some travel may be

The successful candidate must hold a doctoral degree or equivalent in a
relevant discipline (e.g., epidemiology, biostatistics, mathematics or public
health). Experience in applying bioinformatics analyses to high dimensional
molecular epidemiologic data would be an asset. The research program includes
biologic specimens, digital pathology and medical imaging data; thus, training
or experience working with biospecimens and digital imaging data is an asset.
The position requires organizational abilities, attention to detail,
initiative, and an aptitude for multi-tasking. The ability to communicate
effectively in speech and in writing is essential, as demonstrated in
presentations and publications. Salary is commensurate with experience.
Interested individuals should send a cover letter and curriculum vitae to Ms.
Jennifer Connor as detailed below. After initial review, additional materials
may be requested from select candidates.

Ms. Jennifer Connor
Division of Cancer Epidemiology and Genetics, National Cancer Institute
9609 Medical Center Drive, Rm. 7E314 MSC 9775
Bethesda, MD 20892
The closing date for applications is May 15, 2018. DHHS, NIH, and NCI are
equal opportunity employers.

Tenure-Track/Tenure-Eligible Investigator
Biostatistics Branch, NCI-DCEG
(deadline: May 22)

The Biostatistics Branch (BB) in the Division of Cancer Epidemiology and
Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health
(NIH), Department of Health and Human Services (DHHS), is recruiting for a
tenure-track/tenure eligible position. One or more candidates may be selected.
BB statisticians develop statistical research programs and actively collaborate
both in cutting-edge studies of genetic, lifestyle, and other environmental
causes of cancer, as well as in studies of cancer prevention, descriptive and
clinical epidemiology. Statistical research is typically motivated by
challenges encountered in DCEG studies, such as choosing an efficient study and
sampling design, optimally combining data from multiple sources such as
electronic medical records, genetic data bases, disease and bio-specimen
registries, as well as designing validation studies and methods to evaluate and
correct for measurement error in exposures and disease outcomes. The branch has
active methodological research programs in areas that include 1) absolute risk
prediction, 2) analysis of longitudinal and survival data, 3) analysis and
temporal and spatially related incidence data, and 4) the analysis of “omics”
data that includes the analysis of data from cutting-edge next generation

We anticipate increasing opportunities for methodological and applications
research in the analysis of complex biomarker and exposure related data,
longitudinal and correlated data, as well as in high-dimensional data analysis
including “omics” data integration. However, because of the breadth of the
problems we face, we seek qualified applicants with all areas of statistical
expertise in methods, including but not restricted to semiparametric and
survival analysis, functional data analyses, missing data and causal inference,
Bayesian and non-Bayesian computations, network theory, and descriptive

Applications will be evaluated on demonstrated potential to develop a creative,
independent program of statistical research applicable to cancer epidemiology
and genetics, and to collaborate effectively on epidemiologic studies.
Applicants should have a doctorate in biostatistics, statistics or a related
field, knowledge of the basic approaches used in cancer epidemiology, and
knowledge of biostatistical theory and methods. A record of publications
demonstrating an ability to conduct independent research on statistical methods
is required. Publications documenting collaborative research in epidemiologic,
clinical, biomedical, or biological sciences are highly desirable. The
successful candidate(s) should have strong communication skills to discuss
scientific issues with non-statistical colleagues and to write scientific
papers. CVs should include a description of mentoring and outreach activities
in which the candidate has been involved, especially those involving women and
persons from other groups which are underrepresented in biomedical research.
Salary is commensurate with research experience and accomplishments. The
incumbent(s) will receive research support from the intramural research program
of NIH for computer programming and recruiting a post-doctoral fellow.

Interested individuals should send a cover letter; curriculum vitae and
bibliography; a brief summary of research experience, accomplishments and
research interests and goals; copies of three publications or preprints; and
three letters of reference to:
Ms. Linda Littlejohn
Division of Cancer Epidemiology and Genetics National Cancer Institute
9609 Medical Center Drive, Suite 7E328, MSC 9775 Bethesda, MD 20892-9775

Applications received by May 22, 2018 will be considered for a first round of
interviews, but applications will be accepted until the position(s) are filled.
Please contact Dr. Paul Albert (phone 240-276-7593 or for
questions about the position(s). DHHS, NIH, and NCI are equal opportunity

Also see:
The NIH Intramural Research Program

Link to Fellowships and Positions of Interest to fellows


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