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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as induced-pluripotent stem cells, primary human hepatocytes and clinical studies. The environmental medicine
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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testing of high-fidelity models of endocrine-responsive breast cancer and analyses of multi-omic datasets spanning both models and clinical samples ● The successful candidate will be required to work in
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) to integrate these data with computational models. Requirements: We are looking for a creative and enthusiastic Postdoc (m/f/d) with in-depth experience in chromatin biology, gene regulation, and genomics