81 big-data Postdoctoral research jobs at Conservatorio di Musica "Santa Cecilia" in United States
Sort by
Refine Your Search
-
expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in the Cancer Data Science Core
-
microscopy (SEM), and isotope geochemistry Conducting analyses using ICP-MS, ICP-OES, XRF and colorimetric techniques in consultation with collaborators Analyzing data and disseminating findings to scientific
-
Stanford, and beyond. The fellow will also be involved in flagship projects which are large projects led by multiple Stanford faculty and funded through the newly opened Stanford Robotics Center that has
-
of career goals and trainee expectations for post-doctoral training and work Contact information for three references Stanford is an equal opportunity employer and all qualified applicants will receive
-
School of Medicine Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary The Department
-
group has strong collaborations with other groups at Stanford and beyond. See our website for more information on current group members, alumni, research interests, publications, and other resources
-
for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be expected to publish in high
-
interpreting vast datasets, including claims data, electronic health records, and other publicly accessible datasets – all with a keen focus on pediatric pain, sleep, opioids, and perioperative outcomes
-
-cigarette nicotine vapor, augment model AAA. Exposure to tobacco smoke, nicotine, and vaping can cause cellular epigenetic alterations, which may be transmitted in a transgenerational fashion. Our data show
-
and virus transfection, flow cytometry. The candidate is expected to have the ability to work independently and as part of a team. Self-initiative and motivation, excellent communication, teamwork, data