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Field
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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
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of solid-state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who
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An opportunity has arisen for a Research Fellow in Machine Cognition in UCL Linguistics, within the Division of Psychology and Language Sciences and Faculty of Brain Sciences. UCL is ranked eighth
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. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and aging, and have multiple national and international
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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
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. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
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for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance
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, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken English - essential for data analysis and communication with stakeholders Interpersonal skills with