58 computational-physics-superconductor Postdoctoral positions at Northeastern University
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blotting CRISPR/Cas9 genome editing RNAseq and proteomics analysis Organize, process, and report experimental data. Present findings in lab meetings and contribute to manuscript and report writing
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· Assistive technologies for individuals with visual impairments · AI-driven physical therapy and rehabilitation systems · Human-robot interaction and coordination Responsibilities: Perform
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Oct-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Oct-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: Nahant, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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Computer Science, Computational Biology, and Computational Biophysics. Extensive training opportunities cover all aspects of the drug discovery process. The postdoctoral scholar will receive professional development
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious