30 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions at Baylor College of Medicine
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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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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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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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an accredited doctoral program in clinical or counseling psychology. Experience in a psychiatric inpatient setting. Experience administering psychological test batteries that includes projective measures
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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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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to
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outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to
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will be expected to pass a basic programming test in Python). Excellent written and verbal English skills, strong communication and interpersonal skills, and the ability to work within large