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, scalability and mathematical soundness; translate abstract mathematical ideas into practical tools and modelling strategies for space-related technologies, systems analysis and mission-enabling applications
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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered
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with researchers working on silicon heterojunction solar cells, perovskite photovoltaics, tandem integration and device modelling. Job requirements We are acutely aware that we are a diverse society and
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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integration and device modelling. Job requirements We are acutely aware that we are a diverse society and not every talented applicant will have had the same opportunities to advance their careers. We therefore
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to ongoing work by Dr. Megha Khosla on trustworthy graph machine learning, especially on the relationship between transparency and privacy in graph-based models. Population-scale network data are highly
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love