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will be at the absolute forefront of combining GNSS and modeling the different contributions that courses solid Earth deformation where the main contributors are elastic deformation, glacial isostatic
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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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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
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, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and Postdocs within
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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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models Tough bio-inks for surgical procedures We are looking for candidates with a high degree of independence and a strong drive for scientific excellence. These positions provide excellent opportunities