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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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expanding its focus to space-based missions. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical pathology, medicine, and domestic animal reproduction. In addition, the SLU University Animal
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conduct an executive search process in parallel with the public advertisement of the role. For further information and to apply, please submit a CV and covering letter, detailing how you fulfill the role
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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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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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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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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 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