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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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management Background: materials science, mechanical engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc6/ DC7: High-Performance Magnesium-Based
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populations Supporting the implementation of computation frameworks to predict the metabolic activity of cell populations from omics data Performing phenotypic assays to validate the cellular heterogeneity
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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the composition, physiological function, and pathophysiological relevance of Ca2+-signalling pathways in human sperm Performing high time-resolution recordings of signalling events in the sperm flagellum using
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus
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formation or resorption. In the course of the present project, that is funded by the German Research Foundation (DFG), it is planned to create a biphasic organoid to enable investigations on the cellular
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samples, pregnancy cohorts, and cutting-edge AI-driven analyses Decoding the molecular mechanisms of pregnancy-mediated immune suppression using high-dimensional multi-omics data Validation of computational
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded