11 big-data-and-machine-learning-phd PhD positions at The University of Iowa in United-States
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Requirement: PhD in molecular biology. Required Qualifications: Track record of productivity and prior publications. Experience with molecular biology and biochemical techniques. Excellent interpersonal
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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communities in the nation (Livability.com). To learn more about our great community, please click here . And for more information about Why Iowa?, click here. Applications will be accepted until the position is
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experience in pharmacy practice. Hands-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic
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Professor, Associate Professor, or Full Professor level, commensurate with the individual’s previous experience. Applicants must have a PhD, MD, DO or equivalent doctoral degree from an accredited college
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including tissue dissection and processing. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest Number of References: 3 To start the Online
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develop therapies for genetic eye disorders. The candidates will be responsible for the designing experiments, generating data, data analysis, presenting research findings at scientific meetings, writing
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on the basis of race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, associational preference, status as a qualified individual with a
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located below the Contact Information. Contact Information Contact:Michael T Washington - michael-washington@uiowa.edu Cmed-Radiation Oncology Pomerantz Family Pavilion 720 Melrose Avenue 01512 LL PFP
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and