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Field
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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skills relevant to maintenance, repair, and modification of scientific instruments. Qualifications Experience with biological experimental design and implementation. Computer skills for instrument
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epilepticus. You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with a team of collaborators having expertise in translational neuroscience, clinical neurology, signal
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sensing systems, including recent NOAA and NASA satellite launches, and computer modeling systems. Mentor: The mentors for this opportunity are Susan O’Neill (susan.oneill1@usda.gov ), Sim Larkin
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About Cookies Cookies and related technologies (herein “Cookies”) are small text files that a website saves on your computer when you visit the site. Cookies the University sets are called first
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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computer skills for accurate data collection using various hospital EMR systems (primarily EPIC systems) and willingness to learn various Data Capture systems (WebDCU, RAVE, Red-Cap) ability to work on site
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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and