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cities. A lab within the Institute is seeking an Associate Research Scientist who will study communication between areas of the brain by applying novel methods from information theory and nonlinear
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, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git
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. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 ADA Statement
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17 Mar 2026 Job Information Organisation/Company KU LEUVEN Department Engineering science Research Field Engineering » Industrial engineering Engineering » Computer engineering Computer
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retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal
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to Neuroscience, Physiological Psychology, Cellular Neurobiology, Computational Neuroscience, Neurodevelopment, and Neuroscience Research Methods or upper level course in a Neuroscience Specialty area
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the largest in the UK, and thus has been able to develop research and teaching profiles that are both broad and deep, reflecting critical mass both in core areas of the discipline (e.g. computer architecture
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
associate will employ methods such as reverse engineering to understand and modify the behavior of off-the-shelf systems. This forms the basis for designing, implementing, and experimentally evaluating
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic