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metallic nanoparticles (MNPs) developed within the scope of the project. The process includes a preliminary pre-treatment step, in which polymers are depolymerized or oxidized into lower molecular weight
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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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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