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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting
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biomarkers. The successful candidate must have strong grounding in statistics. This position will focus on intensive research training, professional development and mentorship of undergraduate and graduate
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/Statistics Additional Information: 2 openings available. Internal Number: 365653 The Mathematics and Statistics Department at the University of Minnesota Duluth (UMD) invites applications for postdoctoral
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks