46 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Northeastern University
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-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions
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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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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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About the Opportunity Job Summary A Postdoctoral Research Associate position is available in the Saavedra lab in the Department of Biology at Northeastern University in Boston, MA. The lab is
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undergraduate students. About our lab: The Zhao Lab in the Department of Chemical Engineering at Northeastern University is an interdisciplinary group working at the interface with computational chemistry
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conduct grant research; as normally acquired through a PhD in structural engineering or architecture with a focus in computation. Key Responsibilities & Accountabilities (40%) Work with supervisor
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work in the group, checkout out the group website. https://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering
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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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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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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