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-Performance Computing (HPC) LanguagesENGLISHLevelExcellent Research FieldComputer science Internal Application form(s) needed wiss._Stellenangebot_Post_Doc_Englisch_Perso.pdf English (323.1 KB - PDF) Download
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open questions at the interface. Essential Responsibilities Perform experiments, analyze, visualize, and interpret data Perform computational work and mathematical modeling Presentation of work in
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
computational researchers to ensure high-quality molecular data generation. Train graduate students and laboratory personnel in molecular techniques and clean-room practices. Assist with laboratory management
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. This position offers the opportunity to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects
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: Within this research program, the postdoc fellow will spearhead the studies on mitochondria dynamics and mtDNA-mediated innate immune response in chronic liver diseases in particular alcohol-associated
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with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food production and veterinary
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to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on: • Development of multivariate
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to test system performance Knowledge, Skills, and Abilities Computer skills sufficient to work with locally-written MatLab software and commercial software for data acquisition and interpretation
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related to staff position within a Research Infrastructure? No Offer Description The proposed project will develop green, miniaturised and high-performance sample preparation workflows for the analysis
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine