12 computer-vision-and-machine-learning Postdoctoral positions at Northeastern University
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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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, heterogeneous catalysis, electrocatalysis, sustainable energy, and machine learning. We develop and apply electronic structure theory, i.e., density functional theory and correlated wavefunction theory, to design
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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limited to brain imaging (broadly defined), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral
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, electrocatalysis, sustainable energy, and machine learning. We develop and apply electronic structure theory, i.e., density functional theory and correlated wavefunction theory, to design heterogeneous catalysts
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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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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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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. CV with a list of publications. Names and contact details for 2 references. QUALIFICATIONS PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning