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Deadline for applications: 2018-06-30

Biomathematician (m/f) full-time position at Fresenius Medical Care, Bad Homburg, Germany

Your tasks:



Your profile


Your contact:
Fresenius Medical Care Deutschland GmbH
Bad Homburg
Reference no. 25015

Career level:
Experienced professionals
Professional field:
Regulatory Affairs / Drug Safety / Medicine / Medical Technology / Other / Clinical Studies / Statistics / Research / Information Technology
Employment relationship:
Permanent / full-time
Company division:
Fresenius Medical Care Location:
Hessen / Bad Homburg
Application deadline:
None we are looking forward to your application

Please contact: Martina Pozzi


Deadline for applications: 2018-01-19

DPhil Studentship in Mathematical and Computational Biochemistry at Mathematical Institute, University of Oxford, GB

Applications are invited for a 3-year DPhil Studentship in Mathematics, funded by the Royal Society, to work on projects in mathematical and computational biochemistry under the supervision of Prof. Radek Erban.

The DPhil studentship will start on 1 October 2018, and will be based at the Mathematical Institute, University of Oxford. The studentship is fully funded, and includes a standard stipend of approximately GBP 14,553, and College and University fees at the Home/EU rate, as applicable. The studentship is attached to Merton College, Oxford.

The proposed projects lie at the interface of several mathematical areas, including dynamical systems, stochastic processes, asymptotic analysis, numerical analysis, differential equations and mathematical biology. The successful candidate should have some familiarity with these areas, but the student can also receive advanced training in these disciplines by attending relevant courses in Oxford.

DPhil is the Oxford equivalent of the PhD degree.

More details can be found here: https://www.maths.ox.ac.uk/node/27337

Deadline for applications: 19th January 2018

Please contact: Radek Erban
https://www.maths.ox.ac.uk/node/27337


Deadline for applications: 2018-01-18

PhD position in mathematical genetics at Biomathematics Group, Bielefeld University, Germany

PhD position in mathematical genetics in Bielefeld.

Applications are invited for a PhD position (research associate, 75 % E13 TV-L) in the biomathematics group at Bielefeld University for a period of 3 years, starting as soon as possible.

We are looking for young researchers to work on projects in mathematical genetics. The projects are part of the Priority Programme on Probabilistic Structures in Evolution (DFG-SPP1590),

http://www.dfg-spp1590.de/

which offers an excellent research environment. The same holds for Bielefeld University, a particular strength being due to close interaction between biomathematics, mathematics, bioinformatics, and biology.

More precisely, the projects will investigate genealogical processes under various combinations of genetic processes such as mutation, selection, and recombination. We expect a Master or Diploma degree in Mathematics, Biomathematics, or Mathematical Statistical Physics, and solid knowledge of probability theory.

Informal inquiries and applications should be sent to

Prof. Dr. Ellen Baake, Research Centre for Mathematical Modelling, Bielefeld University, P.O. Box: 10 01 31, 33501 Bielefeld, Germany, ebaake@techfak.uni-bielefeld.de,

before January 18, 2018. Applications via email are welcome.

The official job ad is here:

http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Anzeigen/Wiss/wiss17345_engl.pdf

Please contact: Ellen Baake
http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Anzeigen/Wiss/wiss17345_


Deadline for applications: 2017-12-10

PhD student to work on mathematical models of plasmid-borne antibiotic resistance in new group in the Department for Evolutionary Theory at the Max Planck Institute for Evolutionary Biology at Plön, Germany

Plasmids are extrachromosomal DNA elements that can be transmitted vertically or be transferred horizontally between cells. Clinically relevant antibiotic resistance is often encoded on plasmids rather than on the chromosome, which can lead to special evolutionary dynamics. The aim of the PhD project is to develop mathematical models for the evolution and spread of resistance on plasmids. On the mathematical side, the analysis will mainly be based on branching process theory, complemented by deterministic ODE systems and stochastic computer simulations.

Applicants should have a degree in mathematics, physics, biology, or another related field. A prerequisite is a keen interest both in mathematical modeling and in biological systems. Good quantitative skills are essential. Experience in mathematical modeling and knowledge of a programming language (C, C++, Java, R, Python...) is an advantage.

The PhD student will join a vibrant interdisciplinary institute with departments spanning evolutionary genetics, experimental evolution, evolutionary ecology, and theoretical biology. The Max Planck Institute provides an international working environment with an excellent infrastructure. With the close-by Universities of Lübeck and Kiel and the Kiel Evolution Center, it is embedded into a collaborative scientific community. The town of Plön is surrounded by lakes and close to the Baltic Sea, offering ample opportunity for outdoor activities. The cities of Kiel and Lübeck can be easily reached by train in 30 and 40 minutes, respectively.

The payment and benefits are according to a 50% position of the remuneration level 13 within the TVöD and the appointment is for 3 years. This corresponds to a typical German PhD salary, includes social benefits, and easily covers the costs of living.

Interested students should send their application (motivation letter, CV, copies of certificates, contact details of two references) by email to uecker@evolbio.mpg.de. Please use the code PhD2017 in the subject line.

The Max Planck Society is committed to employing more handicapped individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Application deadline is December 10, 2017. However, the position will remain open until filled by a qualified candidate.

Contact:
Dr. Hildegard Uecker
Max Planck Institute for Evolutionary Biology
August-Thienemann-Strasse 2
24306 Plön
Germany
Email: uecker@evolbio.mpg.de

Please contact: Dr. Hildegard Uecker


Deadline for applications: 2018-06-30

PhD Position in Dynamic Biological Systems at Wageningen University and Research Center, The Netherlands

We are looking for a Ph.D. candidate to work on Uncertainty Quantification in Dynamic Biological Systems.

Uncertainty can enter mathematical models and experimental measurements in various contexts. The study of the behaviour of parameterized non-linear dynamic models is often impeded by lack of knowledge of a subset of parameters [uncertainty] and/or non-uniqueness [variability] of another subset of the parameters. A core topic in the field of uncertainty quantification is the question how uncertainties in model inputs are propagated to uncertainties in model outputs. How can one characterize the distribution of model outputs, given the distribution of the model inputs? Clearly, straightforward Monte Carlo sampling can be used, but in practice, considerations of efficiency and computational cost often preclude this approach. Among others uncertainty quantification methods such as stochastic collocation, polynomial chaos expansion, generalized polynomial chaos and stochastic Galerkin methods have been employed.

This Ph.D. position on Uncertainty Quantification is in the context of Predictive Food Modelling or Predictive Food Microbiology. Gene expression is a fundamentally noisy process, giving rise to a significant cell-to-cell variability at the phenotype level. The phenotypic noise is manifested in a wide range of microbial traits. Heterogeneous behaviour of individual cells is observed at the growth, survival and inactivation responses and should be taken into account in the context of Predictive Food Microbiology. The Ph.D. project will be embedded in a larger project in which we aim to build a transparency cloud solution for the food supply chain that gathers the detailed data on each product unit on its way to the consumer and to use this data to improve the current food safety processes.

For this position we request a solid background in mathematics and physics, good programming skills, and an understanding of and interest in molecular biology. Further, an interest in start-up ecosystem and product oriented research is required.

We offer you a position with the possibility to obtain a Ph.D. at the University of Wageningen. Gross salary will be about 2800 .

We are:
Wageningen University and Research Center, The Netherlands.
The Fleck group is part of the Laboratory of Systems and Synthetic Biology [SSB] at Wageningen University. Our research focus is on the analysis of dynamic biological networks.
The Zwietering group Food Microbiology [FHM] at Wageningen University and Research Center studies food spoilage and quantitative microbiology.

tsenso GmbH
A young, Stuttgart based food-tech start-up providing cloud-based quality analytics for the food supply chain from farm to fork. The Ph.D. position will be sponsored and assigned by tsenso. www.tsenso.com

Interested?

Please send a letter of motivation and a CV to:

christian.fleck@wur.nl, Associate Professor at the Laboratory for Systems and Synthetic Biology.

Please contact: Christian Fleck


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