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planning and capacity building for new research initiatives, particularly those related to harm reduction and telehealth-based care. Mentor MPH and PhD students through collaborative research, manuscript
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contribute to the development of these diseases. Applicants should hold a PhD and/or MD degree and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred
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necessary. CORE QUALIFICATIONS Education: PhD, MD degree required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
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integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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) are fully benefited employees with UM health insurance/dental/vision, life insurance, retirement program, etc. Applicants from groups that are traditionally underrepresented in the STEM are strongly
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or PhD in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of
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. Department Specific Qualifications Education: PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years. Experience
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders