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information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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generation for future funding Participate in laboratory meetings, journal clubs, and collaborative program activities Contribute to mentoring of junior trainees Other duties as assigned Doctoral degree (PhD
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
Position Overview The Center for Computational Medicine at The University of Texas at Austin invites applications for a Postdoctoral Fellow to lead innovative research at the interface
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description here About you You will have: PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics, computer science, or a related field* Strong analytical, quantitative
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quality control of computational workflows. Contribute to manuscript writing and dissemination of research findings. Qualifications: PhD in Bioinformatics, Computational Biology, Systems Biology, Statistics
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disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that matters. This postdoctoral position
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The candidate will have the
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. Click to see the full job description Click to find out more about the F Rouhani Lab About you Essential: (Minimum criteria*) PhD (or near submission) in computational biology, machine learning
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research components. Position Overview Supports interdisciplinary research on energy–water resilience by developing and applying spatial and computational models of coupled human–environment systems under