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Position Description The Laboratoire d’Annecy de Physique Théorique (LAPTh) invites applications for two postdoctoral positions within ADACSI (Accelerating Discoveries in Astrophysics and Cosmology
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Postdoc position (36 hours / 5 days a week) in our group. You will work closely together with the Postdoc in the Artegiani-Hendriks group, as well as collaborate with various other research groups in
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interdisciplinary projects to accelerate geoscientific research by building an open science community and services for biomarker researchers and by building and using lake model emulators. The postdoc will lead the
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to enrich your knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research with a truly global impact — contributing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives
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for Myelin Repair (CCMR) is one of the MS Society's two national Centres of Excellence. Established in 2005, it has just been renewed for a fifth five-year term (CCMR5) with the mission of accelerating
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detailing your expertise and motivation for applying Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries
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that enable dozens of molecular factors to be screened in vivo during development and disease, accelerating the discovery of pathways that control immune-cell behavior. You will help expand these technologies
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collaboration strategies, business models and incentives from ships, terminals and logistics-ecosystem perspectives. The Postdoc will join the Department of Maritime and Transport Technology and will have the
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extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience