74 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 4 days ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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pangenomics), quantum-based simulation methods for drug design, or quantum machine learning for large omics datasets. The candidate is expected to have acquired first teaching experience, and first experience
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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are aiming for a broad spectrum of methodologies and topics, including but not confined to artificial intelligence and machine learning, applied economics, political economy, market design, behavioral and
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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the collected data in accordance with FAIR standards for collaborative use within the Decode project and for machine learning applications Presentation of results in team meetings and preparation of a
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Programme? Not funded by a EU programme Reference Number Bu- CIW 06 Is the Job related to staff position within a Research Infrastructure? No Offer Description WHAT TO EXPECT You will teach mathematics in
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of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a Professorship for Machine Learning (open rank: W2 or W1 with tenure track to W2
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of molecular science. Our research bridges catalysis, functional molecule design, molecular machine learning and data-driven discovery, to address pressing scientific challenges. We are pioneers in