11 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" Fellowship positions at Johns Hopkins University in United States
Sort by
Refine Your Search
-
applicants for a two-year postdoctoral fellowship in history of medicine and medical humanities. The fellow will have teaching and administrative responsibilities in the department's online program in
-
motivation to publish and advance biomarker-based precision medicine. - Background in immunology, nephrology, rheumatology, pathology, molecular biology, computational biology, or related areas
-
, including years of work experience. Generally, NIH guidelines for postdoctoral fellows are followed based on your post-doctoral years of experience (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25
-
. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science
-
Vision Assistive Technology." Under this project we are developing new head-worn technology that informs and assists users with profound visual impairment about objects, people, obstacles, hazards, etc. in
-
: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance
-
includes a new building, 30 research engineers, and extensive computational resources that will establish Johns Hopkins as one of the largest and leading engineering schools with a top Al research program
-
documentation have been archived or otherwise transmitted to the larger organization Qualifications § A doctoral degree in electrical engineering, computer science, or other related fields is preferred but not
-
Medical - Clinical Internal Number: A-175748-11 General Description Our acute care occupational therapy program aims to develop occupational therapists who provide innovative and evidence-based care across
-
computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive