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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop
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position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed
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interviews for all projects between October 6-10, 2025. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control
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tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top
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, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. Publication list (if possible) Reference letters (if available
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emergency managers, robotics developers, and public authorities. Is tested and refined in close collaboration with stakeholders through simulation exercises, workshops, and field studies. The project builds a
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc