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(e.g., SDS-PAGE, CD, fluorescence, FTIR, calorimetry, light scattering, NMR, TEM, AFM, etc.). Experience with other approaches, such as bioinformatics and bioconjugate chemistry for labelling proteins
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international research program in East Africa and a vibrant community forum for clinicians and researchers. Dr. Lee’s research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses
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will join a vibrant group of interdisciplinary scientists in eg bioinformatics, cell biology, physiology and genomics. Project focus The postdoctoral researcher will lead experimental and/or
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Duties as Assigned Minimum Qualifications Master’s degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science, or related field. Two (2) years of experience in genomic data
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
) Department Bioinformatics & Genomics Position Designation Faculty Employment Type Permanent - Full-time Months per year 9 Primary Purpose of Department The Bioinformatics and Genomics Department is a research
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are looking for a motivated postdoc with solid experience in bioinformatics and in machine learning. The position centers on SRPs and LLPS, and the successful candidate will contribute to several ongoing
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, bioinformatics, and biomechanical systems engineering. The successful applicant will utilize clinical research studies using MRI and Electrophysiological tools, signal and imaging processing, and statistical
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Neurology Full Time 86956BR Job Summary Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems