44 assistant-professor-and-human-centric-computing Postdoctoral positions at Northeastern University
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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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/ for more
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) Provide meticulous documentation, analysis, and summarization of results (including digital/photographic documentation and computational/modeling/analysis as needed) Assist in project management and co
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health, social science, and economics. The Network Science Institute and Bouvé College of Health Sciences are hiring one Postdoctoral Research Associate to join the lab of Research Professor Michael
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conferences. Assist with the mentorship and guidance of students in the lab. Qualifications: Ph.D. in computational chemistry, biophysics, bioengineering, or a related field. Experience with molecular dynamics
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About the Opportunity Summary: Professor Tang is hiring a Postdoctoral Research Associate to work in her laboratory. The selected candidate will perform basic research on diffusiophoresis in
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comprehensive 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
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About the Opportunity The Communication for Health Equity Lab led by Professor Diane Francis is looking for a Postdoctoral Research Associate to help support the transdisciplinary research
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven