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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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position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
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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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faculty members, 5 PhD Fellows, and 1 Researcher. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Informatics at Blindern, Oslo. Job description The PhD fellowship position is located
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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