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) to ensure efficient roll-out of the system Profile MSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as
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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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laboratory analysis, including generating isotopic or trace element data You have strong quantitative skills and comfort with coding, and good analytical thinking You are committed to working in
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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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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
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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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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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Your position New computational and analytical tools in population genetics allow to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify