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quantification, and structural surrogate frameworks based on Artificial Intelligence. You will develop tools that bridge from detailed simulation to rapid predictions, compute structural sensitivities, address
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 13 days ago
supervised by Prof. Dr. Serena DeBeer and Dr. Olaf Rüdiger. Your tasks The successful candidate will carry out experimental research aimed at understanding electrocatalytic heterogeneous materials in-situ and
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the institution representing the application for registration addressed to the head of the organizing authority or public institution (Annex 10); b) Copy of the identity card or any other document that attests
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for registration addressed to the head of the organizing authority or public institution (Annex 10); b) Copy of the identity card or any other document that attests identity, according to the law, as appropriate
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of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel materials and device designs for energy harvesting based
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for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC Anti
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closely related field; Ph.D. (or completion of all doctoral requirements) preferred. Preferred Qualifications Experience with reservoir simulation and machine learning and the proficient use
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geological field data. You will also design and run high-pressure shear-cell experiments on natural and analogue granular materials at Chengdu University of Technology, develop discrete-element simulations
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-driven and physics-informed learning techniques Development of simulation-based optimization methodologies, including Bayesian optimization, derivative-free optimization, multi-objective optimization
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, environmental science, and industrial innovation. The project aims to advance a patented NTP technology for the treatment of a complex waste stream and solids. The research forms part of a broader programme of