146 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at Nature Careers
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that support world-class bioimaging-based research, integrate high-end bioimaging technologies into relevant education programs/activities. Key Responsibilities: The primary mission of this role is not
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testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The position holder will be required to perform the following tasks: Carrying out research in
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performance/conduct. Support responsible stewardship of philanthropic funds. Serve on SOM committees related to the overall program and administration, including the Executive Committees, Graduate Medical
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working on bridging this gap by investigating the biochemical properties of Asgard archaea proteins crucial to the understanding of their ecology and evolution. You will perform: heterologous expression in
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in research and scholarship, and a history of conducting high-impact scientific research using modeling or computational approaches. We encourage applications from candidates with a collaborative
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for ensuring agentic AI solutions fitting the complexity of the problem, as well as matching the computational power available, ranging from high performance computers to ordinary laptops. You understand
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of this enterprise is the Center for Pediatric Neurological Disease Research (CPNDR) [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html ]. The CPNDR is
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
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that facilitate the understanding of spatial profiling in clinical samples. You will work with datasets from our Xenium High-plex Single-cell Spatial Profiling (HSSP) from 10x Genomics and GeoMx Digital Spatial