17 high-performance-quantum-computing-"https:"-"https:"-"https:" PhD positions at Empa in Switzerland
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. The candidate should have a strong background in computational biology or a related field. They will: Work closely with the clinical partner to understand the unmet clinical needs. Integrate the existing datasets
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continuum modeling (finite element modeling, computational fluid dynamics), and proven experience with COMSOL Multiphysics. Knowledge of heat and mass transport processes in heat-sensitive materials and
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submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-computational
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performs research on nanomaterial engineering, micro-optics and microfluidics, which provides a wide range of opportunities for the PhD candidate. Your profile We are looking for suitable candidates with a
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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-based materials and an application in agriculture, health and textiles, in order to identify application fields with high environmental sustainability potentials. This PhD position is part of the project
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of German is an asset Our offer Fully funded four-year PhD position at Empa in Dübendorf, starting by mutual agreement, no later than August 2026 Joint supervision by Empa and ETH Zurich Challenging and