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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
, there is the opportunity to work on your own research topics and establish a junior research group. Your duties: Support ongoing research projects by developing computer models and performing computer-based
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. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research
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Association. WIAS invites applications for a Research Assistant Position (f/m/d) (Ref. 25/13) in the Research Group “Numerical Mathematics and Scientific Computing” (Head: Prof. Dr. V. John) starting November 1
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their influence on cell response High level of commitment, motivation, ability to work independently, teamwork skills, sense of responsibility and reliability Very good German and English skills (spoken
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-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail: Perform scientific
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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perform own high profile research in close cooperation with the JCNS institutes in Jülich and Garching in the field of soft matter or condensed matter physics. Your tasks in detail: Contribute
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scientific work • Programming skills, experience with Linux and high performing computing • Experience in joint experimental-theoretical collaborations We are interested in a diverse research community and
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on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Mathematics. • For Postdoctoral Researchers: Ph.D. in Mathematics, ideally with a background in one or more of the
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission