44 phd-data-mining Fellowship research jobs at University of Michigan

  • University of Michigan | Ann Arbor, Michigan | United States | about 5 hours ago

    they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience

  • University of Michigan | Ann Arbor, Michigan | United States | about 6 hours ago

    a postdoctoral fellow to provide primary analysis of imaging and other data related to the Udall Center's primary research study and a similar study, the University of Groningen Dutch Parkinson Cohort

  • University of Michigan | Ann Arbor, Michigan | United States | 26 days ago

    , consent 30% - MRI Data Collection and Data Analysis 15% - MR Image Evaluation and Annotation 15%-Conference Abstract and Manuscript Preparation Required Qualifications* Applicants should have a PhD

  • University of Michigan | Ann Arbor, Michigan | United States | 22 days ago

    coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience

  • University of Michigan | Ann Arbor, Michigan | United States | 10 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 | about 2 months ago

    Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department

  • University of Michigan | Ann Arbor, Michigan | United States | 21 days ago

    analyses for latent spaces formed from neural, genetic, and behavioral data. Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education

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

    multi-omics data integration (e.g.: ATACseq, RNAseq, single cell RNAseq and spatial-omics platforms like CODEX/mIF or 10x Visium). The fellow will work with several research collaborators in the EECS

  • University of Michigan | Ann Arbor, Michigan | United States | about 5 hours ago

    , productive team involved in analyzing -omic data from our ongoing clinical trial studies and larger datasets from systemic sclerosis and other fibrotic diseases. Complementing the analytical work by wet lab

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

    all aspects of fieldwork for the 20-year follow-up of the NSAL, including refinement of data collection procedures (e.g. recruitment messaging, survey questionnaire, informed consent documents), re

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