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of the elderly to space robotics. We are now looking for a Postdoctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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learning on large-scale HPC systems Scalable and energy-efficient AI training algorithms Image reconstruction, segmentation, and spatiotemporal modeling High-performance computing for large-scale AI and
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activity to mouse behavior” (Program Coordinator Prof. Froudarakis) invites applications for one (1) part-time Postdoctoral researcher to assist with the understanding of the algorithm that the brain uses
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral Researcher in quantum computing and algorithms
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criteria PhD in a relevant area, for example, single-cell genomics, statistical genetics, genetic epidemiology, or computational biology. Expertise in statistical genetics and analyses of single-cell and
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-luminosity phase of the LHC. The successful candidate will work in close collaboration with other members of the Particle Physics team, and with members of the Computing, Algorithms and Data team at L2IT
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uniting national laboratories, academic institutions and industry partners, the QSC is endeavoring to advance American innovation and global leadership by enhancing the computational robustness, algorithmic
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of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by