66 assistant-professor-and-human-centric-computing Postdoctoral positions at Northeastern University
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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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venues. Test this prototype tool on repetitive-flood locations along the lower Missouri River. Lead a team of student research assistants and work with collaborators to accomplish tasks. Mentor
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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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will perform basic or applied research of a limited scope, primarily using existing theories and methods. They will assist the supervisor in the interpretation and publication of results and grants
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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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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
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral Research Associate. The Goodwill Computer
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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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