164 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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administrator, an accomplished scholar, a dedicated faculty mentor, a thoughtful colleague, and a true advocate for student learning and development. The dean will have the disposition to nurture and enhance
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, immersive learning environment, and interdisciplinary collaboration across the natural and social sciences, engineering, and policy. DUML fosters a close-knit, hands-on academic community and offers
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Vineyard’s second area of focus (above) and will be central to the Department’s strategic focus on harnessing data science, machine learning, and AI to transform cancer research. The Division Chief will lead
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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Faculty Positions in Genomics and Bioinformatics at the Institute for Genome Sciences, University of
translational biomedical research. We especially encourage applicants with research programs focused on developing machine learning / AI methods for bioinformatics, subclone and mutational analysis, genome
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but not required: Experience or interest in machine learning and artificial intelligence Experience in survey research and study design Salary range of this position is 140K to 200K and reflects
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: Joining an energetic, intellectually vibrant, and collegial lab team. Opportunities to learn, grow as an administrative professional, and be mentored. Joining the vibrant University of Washington research
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Usability evaluation Geographical and spatiotemporal data on environmental and socioeconomic context Ideal expertise/experience includes: Advanced machine learning (deep learning, representation learning
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages