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), 2) Immunology (flow cytometry) 3) Molecular biology techniques. The ideal candidate should be motivated, innovative, with strong problem-solving and interpersonal skills and excitement to learn new
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. Preferred Qualifications Ph.D. in Epidemiology or Bioinformatics or related field. Prior experience in analysis with real-world data, high-dimensional data, causal inference, and/or machine learning
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, biomedical engineering, medical technology, optics, mechatronics, computer engineering, or a related discipline. Strong motivation, scientific curiosity, and commitment to scientific excellence. Experience in
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. This interdisciplinary position sits at the intersection of robotics, machine learning, and sustainable chemistry. You will join a vibrant research environment at the University of Liverpool, building upon our team's
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epidemiologic and statistical methods, including causal inference approaches, machine learning techniques, and high-dimensional data integration methods. Prepare first-authored manuscripts, abstracts, progress
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Associate with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools. Baylor College of Medicine typically follows similar to the NIH stipulated stipend
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clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong