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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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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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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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. 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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computational models of infectious disease dynamics, using data from various sources and methods such as differential equations, agent-based models, network models, statistical inference, machine learning, etc
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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
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assess the value of experiential learning as part of PhD education. Qualifications : PhD in learning science or higher education preferred or EdD and a thirst for learning. The position requires
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About the Opportunity We are seeking a Postdoctoral Research Fellow in Internet of Materials (IoM) and human-computer interaction area. While direct reporting will be to Professor Abowd