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our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional
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. Collaborates with a multidisciplinary team of basic scientists, clinicians, computational biologists. Performs other job-related duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health
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Associate will participate in a two-year Clinical Chemistry Fellowship Training Program designed to provide advanced training in clinical chemistry and laboratory medicine. This Postdoctoral Associate will
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biochemical, cell-based, immunologic, imaging, and/or computational assays as appropriate to project goals, including assay-development and drug-discovery workflows. Analyzes research data, summarizes results
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. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics. Baylor College of Medicine typically follows similar to the NIH
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. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics. Baylor College of Medicine typically follows similar to the NIH
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our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional
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Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular
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Research Training.” This program aims to train postdoctoral or physician-scientists for collaborative research careers in lung related diseases. The Postdoctoral Associate will train under the mentorship
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or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research