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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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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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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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, 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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the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines
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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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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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comprising 10 different research institutions, healthcare systems, and private companies that will use a variety of tools including wastewater surveillance, AI and machine learning, and other predictive