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PhD Positions in Responsible AI 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 01.08.2029
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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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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, 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. In the departments
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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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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
to the development and improvement of experimental methods and measurement techniques in this field. High-pressure phase behavior and thermophysical properties are essential for the reliable design and safe operation
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
-prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and
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opportunities to broaden your expertise and skills How to apply? If you are interested in performing high quality science related to plant hormones, please use the online VIB application tool (https://jobs.vib.be
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enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
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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