41 computer-science-data-wahrn-hous Postdoctoral positions at Northeastern University
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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, the college collaborates across the university, the Northeastern network, and partners around the globe. The Writing Program at Northeastern University, housed in the College of Social Sciences and Humanities
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, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having experimental microfluidics background is preferred. Position Type Research Additional Information Northeastern University
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program that takes a lifespan approach using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of
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or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses related to aging, Locus
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to join the SoundMind Collaboratory and Brain Game Center for Mental Fitness and Well-being at Northeastern University. Together Seitz and Jaeggi have a broad research program that takes a lifespan approach
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR