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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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information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to professor Knud J. Jensen. The position is open from
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accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and
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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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full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Dr. Anpan Han, mail: anph@dtu.dk or phone: +45 4525 4724. You can read
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2025, or according to a mutual 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 Senior
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for working in an organization of this type. For further information please contact: Miriam Feuls, e-mail mfe.ioa@cbs.dk. Information about the department may be found at www.cbs.dk/ioa. Appointment and salary
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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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Associations. The allowance will be agreed upon with the relevant union. The contract is for 2 years. You can read more about career paths at DTU here . Further information Additional information may be obtained
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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