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Field
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computational biology, data science, systems biology, biomedical engineering, and AI/ML, and present findings to internal teams, collaborators, and at scientific conferences. Work closely with the Principal
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab) School Harvard Medical School Department/Area Position Description Our Lab Join our team of researchers, engineers, and
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Details Title Postdoctoral Fellow - Computational Immunology & Translational Oncology School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
The Laboratory of Human Biomimetics at the Johns Hopkins All Children’s Hospital Institute for Fundamental Biomedical Research in St. Petersburg, Florida, is recruiting postdoctoral fellows
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biomedical, omics, and computational research, giving the postdoctoral researcher direct access to expertise beyond the immediate group and opportunities for joint publications. We actively support the
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the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan
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, Computational Biology, Computer Science, Biomedical Engineering, or a related quantitative discipline Strong background in machine learning/deep learning (e.g., CNNs, transformers, vision models) Experience
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in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science, Biomedical Engineering, Molecular Biology, or a related discipline. · Demonstrated research productivity in
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the therapeutic applications of engineered immune cells. Your qualifications should include: Ph.D. degree in life or biomedical sciences, or a related discipline. NK cell development and function. Tumor immunology
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Biology, Computer Science, Biomedical Engineering, Molecular Biology, or a related discipline. · Demonstrated research productivity in computational biology, bioinformatics, genomics, or related disciplines