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and disease research, as well as prevention, diagnosis, and treatment of different forms of breast cancer. We are looking for a candidate with a background in computational biology/bioinformatics who
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summarizes information in an appropriate format for studies. Documents and interprets the results of experiments and reports to the principal investigator. Develops and modifies computer programs. Selects
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. Applicants must have relevant experience in computational structural biology. The successful applicant will implement and develop new computational methods using artificial intelligence (AI) and machine
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Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and
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support of the EXPAND program and the TRISH Science Office including reviewing proposals, monitoring science project progress, attending weekly meetings, etc. Minimum Qualifications Bachelor's degree. Six
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researchers. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes
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of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications M.D. or D.O. degrees will be accepted. Completion of a clinical residency program
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. Performs other job-related duties as assigned. Minimum Qualifications Bachelor's degree in a Basic Science or a related field. Two years of relevant experience. Preferred Qualifications Master's degree in
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direction of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications Completion of a clinical residency program is preferred. Baylor
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, identifying phenotype-genotype associations, developing models from multi-omic and biobank data to gain mechanistic insights into variant-phenotype associations, and creating novel computational systems