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& CAD, Computational Systems Biology, Graphics and Vision, Information & Data Management, etc. A Ph.D. in Computer Science or an equivalent degree is required. The University of California, Los Angeles is
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Assistant to join our team. Our research focuses on the interface of glial biology and brain cancer, with a particular emphasis on malignant glioma — the most aggressive and lethal form of primary brain tumor
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and excellent organizational skills Qualifications Ph.D. in Genetics, Cell Biology, skeletal biology, or a related field to the project highlights Experience with gene editing techniques (CRISPR
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Faculty Professor Research Assistant - Full-Time Med-Immunology - Pennsylvania-Pittsburgh - (25002421) The Department of Immunology at the University of Pittsburgh School of Medicine is seeking to expand its scope and depth via the recruitment of junior faculty members. We seek candidates for...
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include performing all necessary biochemical, molecular, and cell biology techniques to conduct the research. · Responsible for laboratory activities to isolate and culture the cells under sterile
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candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps of inflammation along the gut
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-preter-phd ). The TOBI-lab is part of the VIB-UGent CMB (Center for Medical Biotechnology) and is affiliated with VIB.AI (Center for AI and computational biology). About VIB-UGent CMB & VIB.AI The Center
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, planetary science, chemistry, biology) and/or organizations (Caltech, JPL, and other collaborating institutions and corporate research partners) in developing novel isotope geochemistry tools and applying
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and fisheries sciences and management, marine biology and biological oceanography, ocean/marine sciences, oceanography, ecology, evolutionary biology, environmental science, biology, or a related field
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence