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, at the University of Colorado Denver-Anschutz Medical Campus. This is a full-time (1.0FTE) position that will utilize cellular, molecular, biochemical, genetic, imaging and bioinformatic/computational approaches in a
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education training program. Job Summary The Department of Radiology at the University of Chicago is seeking a full-time research-focused Gynecological/Obstetric Imaging Data Analyst. This role is dedicated
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 30 days ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct
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in undergraduate and/or graduate level courses in Computer Engineering, Computer Science, cybersecurity, or any related areas • At least one year of Postdoctoral experience especially in the following
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graduate students and postdoctoral fellows and will gain hands-on experience with techniques such as CRISPR genome engineering, protein structure-function analysis, quantitative behavioral assays, and
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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postdoctoral researchers. A tradition of excellence in patient care, basic, clinical, and translational sciences, combined with the strengths of one of the world's top academic institutions provides
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computational analyses of large -omics datasets. Some of the techniques we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical
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Required: Further Info: http://www.csulb.edu/colleges/coe/cecs/ Department of Computer Engineering Computer Science California State University Long Beach 1250 Bellflower Blvd. Long Beach CA 90840