Sort by
Refine Your Search
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties: 85% lead soil data analysis, model implementation, and dissemination of research findings 5% development and guide
-
for H-1B visa sponsorship. Qualifications *Required qualifications include: -PhD in Biomedical Sciences, Biomedical Engineering, or a closely related field. -Demonstrated expertise in thermal modulation
-
the application of machine learning techniques (e.g., doc2vec, encoder models, multi-modal embeddings, large language models) to map concepts and their relationships, tracing how they change, merge, or diverge
-
Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The primary responsibility of this postdoc position will be to probe for Beyond the Standard Model physics in the Mu2e
-
working with infectious agents. Experience with DNA subcloning, cell culture, and routine molecular and virological technologies. Experience working on innate or cell-mediated immunity and at an ABSL2 and
-
that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
-
machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
-
, Dementia, and Long-Term Care will nurture scholars with interests in gerontology, geriatrics, long-term care (e.g., family, community-based, or residential), clinical intervention, health disparities, and
-
multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
-
peer-reviewed journals. Desired Qualifications: Demonstrated experience with atmospheric transport models (e.g., HYSPLIT, STILT, FLEXPART). Experience with receptor-based source apportionment techniques