Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Max Planck Institute for Solar System Research, Göttingen
- University of Greifswald
- Charité – Universitätsmedizin Berlin
- Constructor University Bremen gGmbH
- FBN Dummerstorf
- Free University of Berlin
- Georg-August-Universitat Gottingen
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Johannes Gutenberg University Mainz
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Plant Breeding Research, Cologne
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- TU Freiberg
- 17 more »
- « less
-
Field
-
part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
-
Independently design, execute, and lead a postdoctoral research project at the interface of tumor immunology, metastasis biology, and CAR T cell therapy Establish, optimize, and applypreclinical in vivo
-
offers you the opportunity to be part of a promising biotech start-up from the very beginning, so an entrepreneurial mindset is essential for this position. Job Description Development and optimization
-
The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent...
-
Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
-
. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
-
many-body physics and space-time; quantum programming languages and formal methods; mathematical and computer science foundations and connections. Please see here for more information about the positions
-
biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
-
energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
-
Georg-August-Universitat Gottingen, Mathematics Institute Position ID: Gottingen-RESEARCHASSISTANT [#27660] Position Title: Position Type: Postdoctoral Position Location: Goettingen, Lower Saxony