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, and analyzing data from parallel animal model exercise tests, with various in-life and post-mortem data analyses. Supervising, mentoring, and reviewing the work of students working in the laboratory
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to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. AI Postdoctoral Research Fellows
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successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
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successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
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with implementation machine learning methods and development of high-performance scientific software with CPU and GPU parallelization, knowledge of LAMMPS. 2. Computational investigations of catalytic
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach