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Field
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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different spectral ranges, and engineer materials through hybrid light-matter states. Our group is funded by the Emmy Noether Programme of the German Research Society (DFG). We closely collaborate with
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on the research group/work area: As a biology/chemistry laboratory assistant (m/f/d) you will support the Program Center for Plant Metabolomics and Computational Biochemistry MetaCom established in 2023. We deal
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opportunities for personal development and training, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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Equations, Complex Analysis, Measure and Integration, and Functional Analysis. You are expected to lead your research group with responsibility and consistency, and to create a positive, inclusive, and
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 3 months ago
of magnet systems. Your tasks Responsibility for developing computational models of the complex Stellarator 3D magnet system to be used in integrated Stellarator reactor studies. Improvement
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for implementations in the context of FAIR data principles, supported by further HMC computer scientists Support for the Helmholtz-wide HMC Hub Information at Forschungszentrum Jülich and in the domain of neuroscience
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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort