128 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Northeastern University
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external meetings. Hands-on experience in GPCR signaling assays, electrophysiology assays and in-vitro/in vivo ADME/PK evaluation and computational drug discovery will be a plus. The candidate should have a
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eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits
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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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through peer-reviewed publications, presentations, and technical reports Write and contribute to research proposals, contracts, and technology transfer documents, supporting funding and commercialization
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at the EAI offers opportunities, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want
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, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
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term research program to decipher what factors result in good or poor immune health, transforming and accelerate personalised diagnosis and treatment for people suffering from immune diseases and
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include