68 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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surrogate model discovery are strongly preferred. This appointment is intended to be a two-year commitment; after one year the position will be renewed if funding is available. This position has no teaching
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opening for a Postdoctoral Research Associate to work on the Compact Muon Solenoid (CMS) experiment at CERN. The position will be based at CERN. The Northeastern CMS group has leading involvements in
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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of system level integration and haptics feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines
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productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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, ambitious college with an underlying mission that is driven by our motto of 'CS for Everyone.' Position Type Additional Information Northeastern University considers factors such as candidate work experience
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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driven by our motto of “CS for Everyone.” Position Type Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer