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research assignments. 2. Records and compiles information related to research data. Codes data accordingly to research specifications. Uses a computer terminal to input and retrieve data and to generate
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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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: 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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interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection of these three scientific
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interests, aligning broadly with the themes of stellar astrophysics, machine learning, and the analysis of large observational and theoretical data sets. Conveniently located between New York City and Boston
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Baidu Scholar, the Microsoft Master Innovation Award, Excellence in Teaching Awards (twice), the NIH Mentor Award (four times), and the top performance award in three machine learning challenge tasks in
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expertise Fluent English in speech and writing Effective team player SKILLS PREFERRED Knowledge in one or more of the areas of machine learning, deep learning, distributed computing, p2p networks
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experience with human scalp/icEEG, single-unit recordings. - A strong background in computational modeling of behavioral or neural data. - Experience with statistics, machine learning, and/or brain stimulation
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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