Sort by
Refine Your Search
-
. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
-
unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
-
highly motivated and skilled postdoc to work on a project using comparative venomics and microbiomics to assess the evolution of venom complexity in social and subsocial spiders. This interdisciplinary
-
) Intensive Support (Suicide Prevention and Intervention) , (3) Alcohol and Other Drugs Prevention and Intervention , Program development opportunities may be available, working alongside the program
-
other dedicated employees focused on developing knowledge in agricultural, human, and natural resources, and to make that knowledge accessible to sustain and enhance the quality of human life. Some key
-
. This is combined with rigorous mentoring to create an individualized development plan to achieve the career goals of each team member The ideal candidate will be highly motivated with a strong work ethic
-
Description: Conduct independent and collaborative research on microbial metabolism and genetics Utilize molecular biology, biochemistry, and omics approaches to study oral streptococci Analyze data, prepare
-
projects for this position include: (1) development of physiologically based pharmacokinetic (PBPK) and quantitative structure-activity relationship (QSAR) models of drugs, environmental chemicals, and
-
additional AD risk genes and to develop disease models. Work on the projects studying molecular mechanisms that recently identified Alzheimer’s disease risk repeat expansion variants contribute to disease
-
, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic