69 data-compression Postdoctoral positions at Technical University of Denmark in Denmark
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paths at DTU here . Further information Further information may be obtained from Alex Toftgaard Nielsen (atn@biosustain.dtu.dk ) You can read more about DTU Biosustain at www.biosustain.dtu.dk If you are
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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
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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data at both the action potential and local field potential levels. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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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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the relevant union. The period of employment is 2 years. The start date is 1 January 2026 or after agreement. You can read more about career paths at DTU here . Further information Further information may be
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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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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agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Marta Victoria (mvipe
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real