642 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nature Careers in United States
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Job Description The Department of Psychiatry at the University of Tennessee Health Science Center is seeking a full-time Postdoctoral Scholar to join the Department of Psychiatry. This position is of one-year duration but is potentially renewable for an additional one to two years, depending on...
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to study neural circuit activity and pathology. Lead data acquisition, analysis, and interpretation using computational tools. Present research findings at lab meetings, conferences, and in peer-reviewed
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of Sustainability. We welcome applications from any field of observational, experimental, computational, or theoretical geophysics, broadly defined. We are particularly interested in candidates who can contribute to
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range for this position is $210,000 – $331,000. This position includes membership in the Health Sciences Compensation Plan. The UC Davis Department of Pathology and Laboratory Medicine at the University
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings
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, development and quality patient care. Assesses, develops, implements and evaluates a comprehensive plan for meeting the educational needs of the advanced practice provider team. This is accomplished in
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in the Center for Protein Design, you will be leading one or several research programs, spearheading computational design efforts to create proteins with new functions, developing AI methods
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves