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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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Postdoc opportunity: machine learning methods for high-content image screens (Verhaak lab) Description The Verhaak lab is looking to recruit a postdoctoral associate who will help us develop
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team has a strong focus on machine learning and interpretable deep learning. However, more theoretically oriented candidates, interested in developing mathematical and mechanistic models of the immune
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of their PhD). Appointments are available to start in Winter 2024 (January 1, 2024 or sooner). This is a multi-year position for individuals seeking to become independent scientists in: (a) Digital psychiatry
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: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs
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available for a highly motivated PhD graduate. The successful candidate will join a group of young and motivated scientists in the Alagpulinsa laboratory, located in the Yale Sterling Hall of Medicine
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Qualifications PhD in Public Health, Education, Social Behavioral Sciences, Psychology or related field, interest or experience with digital interventions is helpful Excellent methodological and statistical skills
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programming to underserved youth within the community and will be involved in overseeing community-building events such as workshops and internships. Skills and Qualifications PhD in Public Health, Education
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to facilitate timely and professional deliverables Experience with causal inference, machine learning, and artificial intelligence is desirable Organization: Yale School of Public Health Department: Biostatistics
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Career Strategy, and other offices at Yale. Qualifications Candidates should have or be close to obtaining a PhD in either genetics, genomics, computational biology, bioinformatics, or a related field