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Field
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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experience are specified for each project. Involvement in national and international collaborations requires a willingness to cooperate in teams. We expect you to be able to communicate your results orally and
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degree (master's) in biology, biochemistry, molecular medicine, or a related discipline Willingness to work with animals in experiments (mice) Cell culture experience desirable Independent, structured, and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 24 days ago
, template programming, and multithreaded development # Experience with statistical computing environments such as R or MATLAB is essential # Knowledge of Monte Carlo simulation methods using the Geant4
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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topics and debates in ecology • Experience with a programming language (e.g., R or Python) and data analysis • Sound knowledge of English and the ability to write scientific publications
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plant viral nanoparticles. Perform 3D cell culture experiments on scaffolds and analyze cell proliferation and differentiation. Exploit developed scaffolds and IME novel bioreactor to develop a cultured
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degree in Biology, Biochemistry or Chemistry Experience in protein biochemistry, molecular biology and/or cell biology Willingness to learn new methods and technologies in an international and
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background in star and planet formation or small bodies of the solar system Experience in hydrodynamics and/or N-body simulations in the star and planet formation context Programming experience Proven
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protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions. Merging experimental results, simulations, and literature for optimal