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the MSOM journal. • May need to work with external collaborators on numerical experiments with real world data (but this job is purely on academic research and is not part of an industrial collaboration
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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validating Hydrodynamic models to study performance of integrated floating breakwater and marine renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance
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31st May 2026 Languages English Norsk Bokmål English English PhD Fellowship in Optimization of Energy Transfer in Shallow Geothermal Wells Apply for this job See advertisement Job description The
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
and optimizing the novel system. Through numerical modelling, the fellow will investigate the potential of coupling separation membranes to plasma to obtain the separate production of carbon monoxide
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep