Sort by
Refine Your Search
-
at Harvard, including operating and optimizing the imaging pipeline, developing high-throughput quality control workflows, as well as performing downstream data analysis. The imaging pipeline involves a custom
-
for each appeal (print and email). Also responsible for creating, maintaining, and tracking appeal codes, PURLS, other giving URLS, and print scanlines; and, in conjunction with the associate director
-
Diseases (NIAID ) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) National Institute on Deafness and Other
-
, computational social science, and causal inference. Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct. Projects you will work on include, but are not limited to: AI
-
computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
-
to, the following: Data Analysis and Programming Develop study questions and analytic approach (including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly
-
programs, industry jobs, and other research assistant positions), and have a range of skill levels and experience with coding. Fellowships will begin around July 1, 2026. Fellows typically work at OI full
-
for the creation and recording of test plans Experience with Campus Solutions or another large Student Information System Experience with python coding experience is a plus Knowledge of information
-
studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker
-
pseudostratified epithelial architecture, and its role in tissue behavior. It will also involve use of advanced live imaging, genetic manipulations, computational modeling, and mentoring junior team members. A