16 developer-"https:" "https:" "https:" "Dublin City University" Fellowship positions at Johns Hopkins University
Sort by
Refine Your Search
-
electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
-
capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines
-
health sciences across the campuses of Johns Hopkins University to foster innovative, interdisciplinary scholarship and to train undergraduates, graduate students, and health professionals with skills
-
include but are not limited to: Conduct literature review and stakeholder engagement to Conduct literature review and stakeholder engagement to inform project development and identify gaps. Preparing
-
thermoreflectance optical pump-probe thermal-property measurement methods, develop and refine instrumentation, optimize protocols, and provide thermal property data for thin-film and multilayer materials that can
-
sources and will be part of and work on the ongoing effort to develop new measurement science and devices for quantum networks, including sources, detectors, memories, transducers, metrology, and protocols
-
collaborative, interdisciplinary team. - Provide technical input to research problems which have been recognized as critical obstacles to progress in areas of exceptional interest. - Prepare and
-
. This position is part of the Johns Hopkins Individualized Health Initiative (Hopkins inHealth), a University-wide effort to develop precision tools that improve diagnosis, prognosis, patient stratification, and
-
, 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
-
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