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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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, funded by a Leverhulme Trust Research Leadership Award held by Dr Alessio Spurio Mancini. ECLIPSE's goal is to develop next-generation inference frameworks that combine machine learning with rigorous
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California State University, Long Beach | Long Beach, California | United States | about 4 hours ago
Evidence of ongoing research utilizing Big Data in physics and astronomy, theory or experiment, including but not limited to developing and applying machine learning and/or data-driven modelling to large
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improved mobility. An AI-based Human-Machine-Interface, employing machine learning and neural networks, enables real-time control by the user. Embedded sensors enhance functionality, while mechatronic design
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including: Multi-scale Modeling / Computational Biologist / Bioinformatician – Research Scientist Artificial Intelligence (AI) / Machine Learning (ML) – Research Scientist Experimental Immunologist – Research
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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/Planning Internal Number: 6808728 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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combining mixed quantum-classical dynamics methods with machine-learning surrogate models of energy landscapes and quantum mechanical operators, important photochemical reactions such as CO hydrogenation and
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work Where to apply Website https
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Successful applicants will have: PhD and postdoctoral fellow training with expertise in cancer biology, proteomics and/or computational biology / machine learning A proven track record with first author