36 phd-data-analysis Postdoctoral positions at Technical University of Denmark in Denmark
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changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes
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FTIR, EPR, XPS, Raman) and DFT-based electronic structure analysis (in collaboration) to elucidate structure–activity relationships. Analyze reaction products, selectivity, and mass balance for both
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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information. Experience in continuous variable quantum information processing and entanglement generation is preferred but not required. Experience in programming and data analysis. Ability to work
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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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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an independent research career. Responsibilities and qualifications We are looking for a creative and ambitious researcher with a PhD within cellular biology, molecular biology, bioengineering or similar. You must
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems