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Field
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional
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according to the best practice in compliance with the University of Michigan and funding agency's guidelines. PhD in biochemistry or related field with at least 2-3 years of relevant laboratory research
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* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent.) Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry
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Qualifications* PhD in biochemistry or related field with at least 2-3 years of relevant laboratory research experience. The ability to work productively in a team environment and work with limited supervision
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laboratory, bioinformatics, and/or fisheries trophic ecology research methods. Experience in collecting data and working with large databases. Preferred Experience Experience in analyses of fish diets (larvae
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research independence. Candidates are expected to have no more than four years of post-PhD research experience. Extensions to this time period will be considered in circumstances that support our commitment
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perturbation methods to address basic research questions and facilitate drug discovery. Goals for this position include the development and application of novel experimental and computational tools for spatial
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in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work
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qualifications should include: PhD or M.D. with a strong background and profound knowledge in molecular biology, cancer biology, and metabolism. Previous experience in working with animal models of human cancers
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techniques and methods Present work at conferences and program reviews Collect and analyze data related to the STEMcyclists program Ensure IRB requirements are met within the project Work independently as