26 geotechnical-engineering-postdoc Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
-
postdoc candidate must have a Ph.D. in plant science, molecular biology, or biochemistry and be able to undertake substantially full-time research. The candidate will be highly motivated, have a strong
-
and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
-
About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
-
machine learning. Ph.D. in Materials Science, Physics, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with
-
Ph.D. in chemistry, chemical 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
-
://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
-
/skills: Proficiency in basic molecular biology or genetic engineering techniques. Proficiency in basic bioinformatics and microbial genomics/metagenomics. Ability to collaborate effectively with a team and
-
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
-
computing and high-performance computing (HPC) environments. Interest in entrepreneurship, technology transfer, and translational research, particularly in AI-driven drug discovery and biotech startups