20 materials-science-and-engineering Postdoctoral positions at Northeastern University
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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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. The candidate must have
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. QUALIFICATIONS A Ph.D. in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated
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mathematics, bioengineering, chemistry, chemical engineering, or a related field of experience. Excellent verbal and written communications skills, as well as oral presentation skills. Organization and time
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Northeastern University is searching for an enthusiastic Postdoctoral Research Associate to join our multidisciplinary team. Our group integrates organic, inorganic, and materials chemistry to tackle challenges
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junior-level researchers in the laboratory. Qualifications A PhD degree with a focus in pharmaceutics, pharmacokinetics, pharmacology, biomedical or chemical engineering, or other related field. Hands
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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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://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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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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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