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bioinformatics, biostatistics, artificial intelligence/machine learning (AI/ML) in digital health, clinical informatics, and implementation science, among others. Successful candidates will maintain an active
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, Medical Physics, Electrical and Computer Engineering, Computer Science, Bioinformatics, or a related discipline, with scientific collaboration and research interests in the following areas: · Translational
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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, flow cytometry, RNA sequencing, atherosclerosis, aneurysms, renovascular disease, computer vision, machine learning, decision science. Duties and Responsibilities · Conceptualizes, plans, designs
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combination of education and experience is preferred. Demonstrated ability to initiate and complete projects. Analytical and computer skills including knowledge of statistical, database, spreadsheet and
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is open to individuals with a background in a Biological and/or related Life Science area. This position will be expected to teach or lead up to four introductory Biology lab based or related
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., Snakemake, Nextflow). Practical experience in applying machine learning to cancer genomics will be highly valued. This position provides opportunities to lead collaborative projects, contributing
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Experience: A statement of your approaches, experience and philosophy regarding your teaching, learning, and mentoring. Include a detailed list of all courses taught over the years. You will be sent an email
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into this position will be expected to: · teach at the pre-doctoral and resident trainee levels in both didactic and clinical settings. · engage in research within the college and across other health