13 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Florida
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Classification Title: Postdoctoral Associate - Vascular Surgery Classification Minimum Requirements: For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, Computer Science, Mathematics
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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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references as part of the UF application process. When ready, the hiring department will contact the listed references via email requesting their reference letters to be uploaded directly to the application
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bioinformatics. Special Instructions to Applicants: The University of Florida is a member of the State University System of Florida and an Equal Opportunity Employer. All qualified applicants will receive
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clinical–translational training opportunities. The Postdoctoral Associate will play a central role in these NIH-funded projects and will be expected to take intellectual leadership across multiple aspects
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multidisciplinary teams and manage multiple modeling tasks Special Instructions to Applicants: To be considered, you must upload your cover letter, resume, and list of three professional references. As a part of our
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, vegetation, and water table position on energy transmission. Co-develop and apply process-based numerical models of dune morphological change informed by collected datasets. Coordinate field campaigns
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& Technology, University of Florida, is seeking a highly motivated postdoctoral associate. The lab investigates the neural mechanisms underlying reinforcement learning and cognitive processes such as decision
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, cognitive and meta-cognitive processes in organization. The candidate will have opportunities to collaborate on research projects with faculty and doctoral students in the WCB while continuing to develop
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metrology, ii) bottom-up synthesis of nanostructures, and iii) process engineering for energy and healthcare applications. Specifically, we leverage atomically thin (2D) materials as ideal model systems