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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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. The project involves working within a larger team that will verify the models using electron microscopy and xray techniques (both on the laboratory scale and at central facilities). This project forms part of
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1st February 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in Underwater Foundation Models Apply for this job See
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to increase each year. We recommend that you apply early as the advert may be removed before the deadline. A modern area of research within probability theory is the study of a class of models named after
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. A modern area of research within probability theory is the study of a class of models named after Kardar, Parisi and Zhang and referred to as KPZ. This includes mathematical models for the random
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, previous models have struggled to generalise beyond the hospital they were trained on. We believe that generative pre-training offers a promising path to a new class of models that work across settings and
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2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
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: Molecular Thermodynamics Modeling for the Energy Transition The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how