Sort by
Refine Your Search
-
multidisciplinary and highly collaborative research team and will lead research projects tailored to the candidate’s interest. The candidate will also have numerous opportunities for career and professional growth
-
collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
-
for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
-
About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
-
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
-
research helps overcome common implementation barriers to nature-based solutions projects by identifying economic, environmental, and community assets using multiple data sources and spatial tools. The role
-
quantitative data analysis are essential to the successful candidate. Experience in writing proposals and project management experience are pluses. Ability to communicate and coordinate with multiple senior
-
: Provides scientific and technical leadership in the management, design, and conducting of the entire research program in resilient AI within Prof. Restuccia’s research group. Responsibilities include
-
contribute to academic-industrial collaborative projects. The successful candidate will play a pivotal role in advancing translational research programs that bridge fundamental science with industry-driven
-
, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical