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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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of advanced functional imaging methodologies for whole-brain mapping of neuronal activity (such as calcium functional imaging, nonlinear microscopy, and light-sheet microscopy), in parallel with monitoring
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 days ago
are neutral? Which rare variants impact in enhancers’ activity? and What is the penetrance of that impact? To address these questions, massive parallel reporter assays (MPRAs) have been developed to test in
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involve working closely with teams conducting parallel work with preschool children and adolescents within the ‘All About Me’ project. What We Offer As an employer, we genuinely care about our employees
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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organ, on our labs own dedicated multiphoton confocal. In parallel, genomics data existing within the lab will be mined to identify candidate genes. Combining live and fixed confocal analysis, as
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clinicians; (b) support medical clinicians who have developed and continue to sustain an academic career in parallel with their clinical responsibilities; (c) support the ongoing development
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-parallel/college transfer programs. Central Virginia Community College (CVCC} is seeking an experienced and knowledgeable individual to provide academic and financial support tools (i.e., FAFSA support
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, with experience in additional languages such as Fortran considered a plus. Strong knowledge of at least one parallel programming model commonly used in HPC, such as MPI, OpenMP/OpenACC, CUDA, HIP, Kokkos
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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow