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design, data analysis, and documentation of experiment results. Job Description Primary Duties & Responsibilities: Develops algorithms and computer software for omics-based data sets [high-throughput
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal
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capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration). This will allow testing
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. This stems from a fundamental lack of understanding of the basic biology underlying this process. While flies have emerged as powerful tool to investigate tumour growth and identify cancer related pathways
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setup will allow the exploration of global flow structures, large-scale recirculation, and the transition to the fully heterogeneous regime under realistic industrial conditions. In parallel, smaller
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: Welcome to the Department of Pathology of the University of Colorado (CU) Anschutz. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth
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meetings and Super Computing Conferences, including assisting with booth management. Participates in research when the opportunities present itself. Assists in development of IRCC procedures and processes
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university. Swedish and English are used in parallel at the department. The holder of the position should be able to perform the majority of their tasks in English. However, as a public authority, the
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, genetics, analytical chemistry, geology, geophysics, statistics, and physical sciences. DNA-related STEM research focuses on developing and validating new methods, including massively parallel sequencing