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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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degree in Physics, Physical Chemistry or a related discipline A strong background in polarized neutron instrumentation Good knowledge of advanced neutron ray-tracing simulations (McStas/Vitess) of a full
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or a closely related field. (Professional) Experience Expertise in research in the field of Computational and Theoretical Chemistry. Desirable: • Very good knowledge in theoretical chemistry with
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 1 month ago
, the candidate should have extensive knowledge of DDA and DIA proteomic data processing using MaxQuant or similar software packages. Your responsibilities The successful candidate will focus on developing methods
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic