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. Your mission: Lead and supervise a multi-disciplinary team running in-vivo, ex-vivo and organ-on-chip disease models (human iPSC, microfluidic systems). Drive target discovery and therapeutic development
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and circular economy You have successfully acquired and managed third-party funded projects and have a track record of publications in recognized, peer-reviewed journals Familiarity with programming
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using common frameworks (preferably react, nextJS) Previous experience with Protege or similar tools for semantic modeling and web-based services for managing software (version control, issue tracking, CI
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creating corresponding user documentation for scientific software Practical knowledge in maintaining open source software projects using platforms for version control, issue tracking, and CI Experience in
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the fields of Quantum Machine Learning, Quantum Simulation, and Quantum Optimization. These solutions are made available to the German economy as digital services, while targeted knowledge transfer ensures
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advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target areas are drug
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therefore particularly targeted at early career researchers. For further information about the tenure track process, please visit http://www.rwth-aachen.de/tenuretrack . We are inviting applications for a
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization