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disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly, the objectives of the lab
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, industry partners, and students, document preparation, IAB meeting preparations, etc. QUALIFICATIONS: A PhD degree in Computer Engineering, Electrical Engineering, Computer Sciences, or related field is
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graph theory, network analysis, and/or machine learning modeling confer a significant advantage. This is a two to three year term position with opportunities for training in human systems neuroscience
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About the Opportunity Northeastern University is looking for a postdoctoral research fellow in artificial intelligence (AI) and machine learning (ML) as well as network science (NS) and optimization
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the Opportunity Conduct research on machine learning and control theory as part of a MURI grant. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and
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have a PhD in Physics, Molecular Biology, or related field and ample experience working with pore fabrication and computer control of hardware. Molecular biology experience is a plus. Candidate must have
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. This project looks to accelerate the design of smarter occupant-centric building control algorithms that learn user behavior, are easy to use, and can correctly predict HVAC performance and power draw
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university-level communication campaigns and PhD Network initiatives including Industry PhD, Dual PhDs, the Interdisciplinary PhD and future niche programs. Qualifications : PhD in learning science or higher
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in applicants who use advanced quantitative methods (e.g., longitudinal models, computational modeling, machine learning).. Specific activities may include managing/preprocessing/analyzing behavioral
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. Daily interactions with the Boston campus-based group will also be expected. Qualifications: Applicants should have a PhD in bioinformatics, health sciences, or a related field. Successful candidates