64 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
Helmuth (Marine and Environmental Sciences, Public Policy and Urban Affairs). Although the position would focus on this cross-disciplinary project, the Postdoctoral Scholar would have the opportunity to be
-
of system level integration 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
-
on projects that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key
-
to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
-
biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
-
, ambitious college with an underlying mission that is driven by our motto of 'CS for Everyone.' Position Type Additional Information Northeastern University considers factors such as candidate work experience
-
productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
-
that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key Responsibilities
-
driven by our motto of “CS for Everyone.” Position Type Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer
-
information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling