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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graph Machine Learning and Graph Data Management At Section
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probabilistic machine learning and geospatial sciences. Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension. Qualification Requirements Applicants must hold a PhD degree in
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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ability to work both independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene
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room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied mathematics, or a related area. The
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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied