40 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at University of Nebraska Medical Center in United States
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with disabilities. Location Omaha, NE Requisition Number: 2025 - 241 Department Neurological Sciences 50001975 Business Unit(College/Institute) College of Medicine FTE: 100 Reg-Temp Full-Time Regular
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. Applicants must have a PhD degree with an emphasis in biochemistry, neonatology, biology or related field. This individual will conduct bench and translational cardiovascular research that will utilize in
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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development of standardized methods for local and national application. Qualifications PhD in a relevant field such as climatology, environmental science, data science, public health, or a closely related
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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/2025 Position Qualification Position Summary The Department of Environmental, Agricultural and Occupational Health (EAOH) and the Water, Climate and Health (WCH) Program in the College of Public Health
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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include animal models as synergetic platform for preclinical development of therapeutics and molecular biology aspects of the diseases. A self-starter with strong interest in understanding virological
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Investigator. Teach techniques to others, train, and supervise research staff and students. Required Qualifications PhD, or MD/PhD in vascular biology and/or pulmonary hypertension. Candidates with previous
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. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and