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Field
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements
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07.07.2026, Academic staff Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems. Your research will focus on the applications of logical
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. Support external users with experimental setup, beamline alignment, source optimization, data acquisition and initial data analysis. Troubleshoot experimental problems and ensure reliable beamline
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cooling systems Work across system-level and component-level design challenges Integrate predictive and optimization techniques to enhance system efficiency, reliability, and autonomy Design and implement
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
direct access to materials that simply do not exist in conventional quantities. This makes them relevant to two central challenges in nuclear materials research: the reliable assessment of irradiation
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at the atomic scale. What you will do As device dimensions continue to shrink, surfaces and buried interfaces increasingly define performance, reliability and long-term stability. This postdoctoral position
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and external parties. Operates specialized scientific equipment. Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. This makes them relevant to two central challenges in nuclear materials research: the reliable assessment of irradiation-induced property changes in operating installations and the systematic screening of new