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fungal networks. The project is funded by a joint NIH/NSF program at the interface of mathematical and biological sciences. Job description: Lead the design, conduct, and analysis of laboratory experiments
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living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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Position Information Posting Number F00752P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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Position Information Posting Number F00770P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Post
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Engineering, Biochemistry, Chemistry, Biomolecular Engineering, or a closely related field, conferred within the past 3 years (or anticipated prior to start date). Hands-on experience with preparative protein
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical