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Field
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 17 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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Interaction, coordination and collaboration with other projects within the Priority Programme "DeepDyn" Flexible management of project development and goals About You: Essential Qualifications: A Master’s
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, qualification and professional performance. Chemnitz University of Technology aims to support women in particular and therefore expressly asks qualified women to apply. In the case of equal suitability, severely
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
pathways in cellular and mouse models of metabolic diseases You will perform biochemical and cell biological characterization of protein localization and organelle interactions You will apply and further
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Universities. Furthermore, the TUM School of Management is the first managementschool at a technicaluniversityinGermanytoreceiveTripleCrownaccreditation.Worldwide,onlyabout80institutions(approxi-mately 1%) hold
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phenotyping to external datasets like UK Biobank. The central goal of the project is to perform causal inference of disease-relevant proteins and molecular pathways. The disease area of interest is
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. Your job: You will design, build and experimentally investigate a water-based electric propulsion system. Your work will focus on propellant management, plasma generation and system performance under
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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to help define the architecture, interfaces and future direction of our software rather than simply contribute to a predefined codebase. We are particularly interested in exploring how AI-assisted and