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Posting Summary Logo Posting Number RTF00059PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Posting Summary Logo Posting Number RTF00059PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Engineering), contributions to the Manchester BHF Centre of Research Excellence (CRE), with a focus on Theme 5: Computational modelling, simulation, and large language models. AI for Science in Manchester BHF
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AND PROCESSES : Metals, Manufacturing and forming processes, Durability and degradation, corrosion, Fracture mechanics MODELING - SIMULATION : Data entry: digital representation of materials, behavior
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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be responsible for developing, automating and optimizing data acquisition and analysis workflows for experimental datasets. The candidate will work on the following tasks: Simulation and modeling
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of Mental Health & Psychological Sciences. ( https://www.kcl.ac.uk/psychology ) AVATAR therapy involves the use of a digital simulation (avatar) of the entity the person believes is the source of the voice in
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, and procedures related to campus safety. Go here to review: https://safety.temple.edu/reports-logs/annual-security-report You may request a copy of the report by calling Temple University’s Campus
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange