42 software-engineering-model-driven-engineering-phd-position Postdoctoral research jobs at Northeastern University
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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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engineering, or a related field by the time of starting this position. Significant background in chemical synthesis and characterization techniques (e.g., NMR, IR, and X-ray Diffraction). Ability to work both
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, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with grant writing. Position Type Research Additional
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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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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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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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year contract (2025-26) with an opportunity for one renewal in academic year 2026-27. These full-time, benefits-eligible positions provide health insurance coverage as well as funds for professional
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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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their importance, the majority cannot be genetically engineered, and even those that can are notoriously difficult to work with. The postdoctoral associate will develop fundamentally new approaches for genetically
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Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious