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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Theoretical High Energy Physics group at Northeastern University in Boston has a
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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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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. QUALIFICATIONS Ph.D. or equivalent required in Physics or Astronomy. Excellent interpersonal, verbal, and written communication skills, attention to details, as well as training in research methodology and
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Ph.D. in Applied Mathematics or Mathematics or Physics; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. The postdoctoral fellow
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Theoretical High Energy Physics group
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until filled. The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. QUALIFICATIONS A Ph.D. in chemistry, physics
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal