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? Postdoctoral Research Opportunities in Science (PROS) at Baylor College of Medicine allows you to meet faculty and trainees from multiple labs and learn about our resources in the Texas Medical Center in
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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of a fun, diverse and interdisciplinary group. They will learn about cell therapies for diabetes. The successful candidate will be actively involved in projects that are intended for clinical
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://www.schenlabuottawa.com/ Key Responsibilities: Lead a project that identifies the roles of specialized gene expression programs in distinct excitatory and inhibitory neuron subtypes during motor learning. Utilize in vivo
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skills for publication in top-tier journals and competitive grant applications. - Learning lab/research group management approaches. - Preparation of manuscripts for publications (including collaborative
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of Dr Benoit Gosselin (Université Laval), Guillaume Lajoie (UdeM) and Marco Bonizzato (Polytechnique). It integrates the use of machine-learning approaches to optimize neurostimulation, automation
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, research budget, housing allowance, space and more. Learn more about benefits and perks here . Runway also provides corporate support , and a new approach to Intellectual Property . You can learn more about
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. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link) , @TorontoMetHR (external link
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-doctoral researchers and experienced professionals to conduct research, teach, or undertake a combination of both activities for one semester or a full academic year at any university or research center
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning