Issue's Topics: † Stochasticity & Control in the Dynamics & Diversity of Immune ... † Workshop on mathematical & Theoretical ecology † International Summer school on deep learning, Bilbao, Spain † Biofilm Models Special Issue European Journal of Applied Mathematics † AAi Short Courses R Programming † PhD scholarship, University of Edinburgh † PhD thesis position at University of Lorrain, France † Postdoc on modelling T cell response to malaria, University of Tennessee † Positions on theoretical modeling † SMBnet Reminders
We† would like to invite you to participate in a system immunology conference that will take place from the 18th to the 23rd of June 2017 at the Israeli Institute for Advanced Studies† (IIAS) in Jerusalem, Israel. The meeting will focus on how stochasticity and control influence immune dynamics and bring together leading experimental and computational researchers. Please submit abstracts for consideration by April 1 http://www.as.huji.ac.il/content/stochasticity-and-control-dynamics-and-diversity-immune-repertories?_ga=1.165900670.1197455970.1469238669 The conference will include tutorial sessions for graduate students and post docs interested in novel methods of sequence analysis and modeling of immune repertoires.
From: Petrovskiy, Sergei (Prof.) <email@example.com> Date: 2017-03-18 11:02 GMT-03:00 Subject: Workshop on mathematical & Theoretical ecology
One-day workshop: "Uncertainty and predictability in ecology" (University of Leicester, April 6, 2017), organized by Sergei Petrovskii Speakers & talks: Robert Holt (University of Florida, USA): "Reflections on apparent competition: a 40-year anniversary" Ludek Berec (Institute of Entomology, Budejovice, Czech Republic): "Happy but frustrated: Allee effects help control pests but are hard to estimate" Axel Rossberg (Queen Mary University of London, UK): "What can we and what can't we predict in community ecology?" Max Souza (Universidade Federal Fluminense, Brazil): "Predator-prey dynamics: mass action models, functional responses, and the PDE viewpoint" Natalia Petrovskaya (University of Birmingham, UK): "`Heads or tails': choosing between deterministic and probabilistic approaches to evaluation of the population abundance from sparse data" Sergei Petrovskii (University of Leicester, UK): "Catching ghosts with a coarse net: use and abuse of spatial sampling data in detecting synchronization"
From: John Ward <John.Ward@lboro.ac.uk> Date: 2017-03-21 13:40 GMT-03:00 Subject: Biofilm Models Special Issue European Journal of Applied Mathematics
The European Journal of Applied Mathematics will be publishing† a special issue centered on mathematical modeling of biofilm processes. Topics include model formulation, analysis of biofilm models, numerial algorithms for biofilm models, and model based study of biofilm phenomena. Inquiries can be directed to the guest editors of the special issue, John Ward [Loughborough,†John.Ward@lboro.ac.uk] and Hermann Eberl [Guelph, firstname.lastname@example.org]. In particular authors who plan to submit review articles are encouraged to contact us beforehand. Submitted mansucripts will undergo the usual EJAM peer review process. Target date for submission is June 1, 2017. To submit your manuscripts, please visit http://www.edmgr.com/ejam/Default.aspx, and on submission select the special issue ?Biofilms? link.
R Programming - Stage 1 (Introduction) is the basic R Programming one (1) day short course for beginners and or those seeking refreshment in R Programming.
R Programming - Stage 2 (Intermediate) is the intermediate R Programming one (1) day short course for those who have completed R Programming ? Stage 1 or for those who consider themselves to have a working knowledge of R. R is a very popular open source programming language that excels in statistics, visualisation and data analysis. Its most significant advantage is that there are now several thousand add-on packages that are available to perform specific analysis tasks, and the whole ecosystem is free of charge.
From: "Miguel O. Bernabeu" <email@example.com> Date: 15 March 2017 at 14:44:32 GMT Subject: PhD scholarship, University of Edinburgh
PhD scholarship for the project: ?Developing new diabetic retinopathy biomarkers through image processing, computational modelling, and machine learning?. Deadline for application 5pm on 23 March 2017. Start date September 2017. This is a collaboration with Prof. Andrew Morris, Dr Tom MacGillivray, and Prof. Bal Dhillon from the University of Edinburgh and colleagues at Queen?s University in Belfast. More details can be found online at: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=81141
PhD candidate with ideally a strong background in chemical engineering thermodynamics (equation of state, phase equilibria) and mathematics (numerical methods). Candidates with experience in (scientific) programming (especially ForTran) will be preferred. Good communication skills are obviously necessary. All information related to this position is recorded in the attached file. Could you please be so kind to ask potential candidates to send me their C.V. with a cover letter. Do not hesitate to contact†jean-noel.Jaubert@univ-lorraine.fr†for further information.
From: Vitaly V. Ganusov <firstname.lastname@example.org> Date: 2017-03-20 16:10 GMT-03:00 Subject: Postdoc on modelling T cell response to malaria, University of Tennessee
A post-doctoral position is available in the laboratory of Vitaly V. Ganusov in the Department of Microbiology at the University of Tennessee in Knoxville in the area of modeling within-host dynamics of T cell response to malaria infection.
Our laboratory is currently focuses on studying the role of T cell responses, mainly CD8 T cell responses, in the control of pathogens in mammalian hosts.† Despite great advances in biology and medicine in controlling infectious diseases with antibiotics/antivirals and vaccines we still have a limited understanding how pathogens cause the disease and how immune responses control pathogen growth within the host. In our laboratory we adopt a philosophy of data-driven mathematical modeling whereby we combine the use of models and analysis of experimental data. This specific project will focus on understanding how vaccine-induced CD8 T cells locate and eliminate Plasmodium parasites, causing malaria, from murine livers. Experimental data will come from intravital imaging experiments documenting movement of T cells in the liver, localization of T cells around Plasmodium-infected hepatocytes, and elimination of the parasite. The ultimate goal is to understand the number and quality of vaccine-induced memory CD8 T cells needed to provide sterilizing protection against Plasmodium infection. There will be also an opportunity to work on questions related to other infections such as HIV and Mycobacterium tuberculosis.
Requirements: 1) PhD (or equivalent) in mathematics, biology, physics or similar area. 2) Previous documented experience in mathematical/computational biology. 3) Solid knowledge of one of a higher level programming languages (R, python, Matlab, Mathematica, or similar). 4) Good oral and written communication skills.
Basic understanding of infectious disease biology is a plus. Position starts Aug 1st 2017 for 2 years with a possibility of extension given adequate performance. Salary is on the NIH scale with full University of Tennessee employee fringe benefits. To apply, please send your CV, 2-3 copies of your papers best representing your contribution to science, and arrange for 2-3 letters of reference from your previous advisers to be sent to†email@example.com.
We have a number of positions open?this ad focuses on the theoretical modeling positions (we?re also looking for bio and chemical engineers to help genetically engineer and test the therapies). An ideal modeling candidate has strong experience using and developing deterministic and probabilistic approaches to analyze dynamical systems (genetic evolution and disease transmission being two examples).† A Ph.D. is preferred, but your research experience and passion are more important. You?ll be working closely with experimentalists (at the company and at universities) to probe whether our prototype therapies can safely control fast-changing viruses.† We?ll build bioreactors to test your predictions.† So, you?ll be developing (and publishing) new science, while helping optimize new potential cures. If your quantitative skills are exceptional and you?re passionate about learning biology, we?ll train you in the biology.† We?d love to see some of your work.
Benefits: Our scientists are full-time employees with competitive salaries and stock options in an early growth-stage company (with a number of first-in-class drugs in the preclinical pipeline). We also offer medical & dental insurance, 401(k) plans, commuter and fitness benefits, and engaging places to work (e.g., New Lab in Brooklyn, UCSF campus in San Francisco). For the academic-minded, you will be able to publish, present at conferences, attend DARPA workshops, and work closely with collaborators at seven academic institutions.
About Us: Our goal is to radically alter drug development and disease control?by designing the first mutating, ?resistance-proof? therapeutics to target rapidly evolving pathogens and cancers. Current drugs are static biological or pharmaceutical compounds.† The problem is that these non-evolving interventions are used to target evolving disease targets that rapidly mutate across patients and populations.† The mismatch between non-adaptive therapeutics and adaptive disease targets is the reason that many pathogens and cancers emerge resistant to drug control and untreatable. We aim to obviate resistance by developing (the first) mutating therapeutics? drugs that co-evolve with infectious diseases like HIV and Zika to maintain lifelong control.† Imagine taking a drug (or flu vaccine) once in your life and never needing to worry about that disease or any of its evolved variants again. More Info A recent Bloomberg interview about us:
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