248 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Nature Careers
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong communication skills, a solid publication record, and a demonstrated
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
(within 1-2 years of PhD conferral). Applicants must hold a PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong communication skills, a solid publication record, and
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, biology, computer science or related disciplines Strong computational skills, including machine learning, e.g. demonstrable project in a relevant field A strong first-author publication record in a relevant
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers