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for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel
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. Models: Cell culture and mouse studies will test selected BEV–brain pathways. Data analysis: Bioinformatics and statistical tools will integrate molecular data with existing clinical and lifestyle
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coupled to state-of-the-art mass spectrometry analyses of proteins and their post-translational modifications, including downstream bioinformatics. Biological applications will include work on bacterial
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, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex
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Job Advertisement HKI-52/2025 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI): https://www.leibniz-hki.de/en/#, we research the pathobiology
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at matthes@tum.de More Information https://wwwmatthes.in.tum.de/pages/1t01rhntceuvs/Three-PhD-Positions-in-the-Area-of-Natural-Language-Processing-for-Medical-Applications
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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Your Job: Modeling and characterization at molecular level of selected biological processes by performing classical molecular dynamics, and employing enhanced sampling methods and machine learning
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degree (or equivalent) in Bioinformatics, Computer Science, or a related field. Applicants with a molecular life science background and strong computational expertise are also encouraged to apply