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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
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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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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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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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. You can read more about career paths at DTU here . Further information Further information may be obtained from Head of Section, Ulrik Lund Andersen ulrik.andersen@fysik.dtu.dk . You can read more about
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which generally require near-unity
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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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December 2025 (or according to mutual agreement). The position is a full-time position. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further