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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
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strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian
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approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete research projects. Publication of research results at national and international conferences. Assistance in preparing
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Infrastructure? No Offer Description Work group: PGI-12 - Quantum Computing Analytics Area of research: PHD Thesis Job description: Your Job: Research: employ on quantum field theory in curved spacetime to model
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research institutions in Germany and a member of the Leibniz Association. The position is in the Statistical Modeling of Secondary and Registry Data Unit. The research interests of the unit are new
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 26 days ago
sciences Mathematics » Statistics Sociology » Other Psychological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 31 Mar 2026 - 23
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. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set
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fieldwork (optional) Project 1: Adapt and implement numerical simulation codes for seismic energy propagation in heterogeneous media using radiative transfer theory Generate regional models of attenuation and