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QUALIFICATIONS Applicants should have a PhD in Computer Science, or a closely related field and must have research experience in medical image analysis, including the analysis of pathology images using AI and
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outcome research, including classification, regression, clustering, and deep learning algorithms. · Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including
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School (PhD or MD/PhD programs). · At least 1-2 years of relevant laboratory/research experience. · Competence in several laboratory methods, procedures and techniques as well as equipment and instruments
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Occupational Therapy, Master of Occupational Therapy (MOT) and Doctor of Occupational Therapy (OTD). In addition, department faculty contribute to the Doctor of Philosophy (PhD) degree in Rehabilitation Sciences
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may close at any time) Job Summary We are seeking a motivated PhD student to join our interdisciplinary research team on a project exploring the use of artificial intelligence (AI) in data-intensive
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behavioral treatment programs and public health prevention efforts (i.e., policy and nutrition assistance programs). Minimum Qualifications A PhD in public health, implementation science, behavioral science
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. Qualifications: Applicants must have a PhD &/or MD degree. Successful candidates will have experience in leading research initiatives. Proven track record obtaining grant funding, publishing in peer-reviewed
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Qualification PhD awarded within 2 years Knowledge of antibody and memory B cell responses Knowledge in molecular immunology or cell signaling pathways Retroviral/lentiviral transduction in immune cells Type
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a model educator to help us provide a world-class education for every undergraduate student. The successful applicant will have: 1) a PhD or equivalent in Chemistry, Chemistry education or a related
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in commercialization, technology transfer, university administrative or research experience, and venture capital efforts around commercialization. Graduate Education; PhD (one year of graduate