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to a research programme focussed on the anatomy and function of molecularly-defined subsets of spinal projection neurons The successful candidate will have extensive skills in investigating spinal cord
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computing, and nonlinear spin-wave phenomena in nanoscale hybrid systems. The group is directed by Univ.-Prof. Dr. Andrii Chumak. We are seeking a postdoctoral researcher with exceptional expertise in
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Investigators at AITHYRA, bridging expertise in machine learning, computational biology, structural systems virology, and chemical biology. Access to high-performance compute infrastructure and expert
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ecological communities reassemble under extreme and unprecedented disturbance regimes. A core goal is to identify the key traits that govern colonization, stress tolerance, and ecosystem functioning in post
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and soft matter. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational
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located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and
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: Position Type: Postdoctoral Position Location: University of Helsinki, 00014, Finland Subject Areas: Astrophysics / High Energy Astrophysics Nuclear astrophysics / Nuclear astrophysics High Energy Physics
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In the context of the urgent ecological transition, the PEPR
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students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination Prepare and submit
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or pathway inference tools Experience working in high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open