17 phd-position-in-data-modeling Fellowship positions at University of Michigan

  • University of Michigan | Ann Arbor, Michigan | United States | about 1 month ago

    technology and engineering, data modeling, national surveys and epidemiological research. Compensation and Benefits This Postdoctoral Research Fellowship position includes: Annual compensation based on levels

  • University of Michigan | Ann Arbor, Michigan | United States | 15 days ago

    fashion, analyze data, develop new research methodologies, prepare research papers, and contribute to grant applications. While funding is currently available for the position, the candidate will be

  • University of Michigan | Ann Arbor, Michigan | United States | 3 months ago

    Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain

  • University of Michigan | Ann Arbor, Michigan | United States | about 2 months ago

    experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required

  • University of Michigan | Ann Arbor, Michigan | United States | 2 months ago

    interventions for preventing overdose, data modeling, national surveys, policy research, epidemiological research, and health services research on pain, addiction, and overdose. Expectations Selection will be

  • University of Michigan | Ann Arbor, Michigan | United States | about 2 months ago

    , such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible

  • University of Michigan | Ann Arbor, Michigan | United States | about 1 month ago

    * This position requires a PhD, preferably in microbiology, molecular biology, bioengineering, chemistry, or related discipline preferred. Candidates must be interested in working with technical aspects of cancer

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