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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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pipelines and workflows utilizing advanced computational approaches, including radiomics, artificial intelligence, machine learning, image analysis, and longitudinal imaging assessment. · Integrate
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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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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications
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its treatment options in patients with OSA. Newly NIH funded projects also include mathematical modeling and machine learning of models of tissue hypoxia using sleep studies and molecular markers
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risk scores (MRS.) Experience with genome-wide (GWAS) or epigenome-wide (EWAS) association studies. Experience applying machine-learning approaches to biological data analysis. Proficiency in at least
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to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We are an open place of
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leave plus bank holidays, along with Christmas closure Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our