Sort by
Refine Your Search
-
of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow, you will have access to the Empire AI Alpha and Beta
-
to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
-
performance and trends. • Provide variance analysis, fund balance projections, cash flow forecasts, and scenario modeling to support decision-making. • Prepare and process accounting transactions, including
-
of data related to individual placement. Identifying and developing new practicum sites, with attention to innovative models, and new, creative approaches to social work practicum, including placements with
-
, residents and fellows Solve problems and assist in developing innovative models of care Maintain effective and responsive relationships with patients and staff Participate in clinical research and clinical
-
advanced cardiac imaging. •Serving as a mentor and professional role model within the cardiology fellowship program. About The University at Buffalo The University at Buffalo (UB) #ubuffalo is one
-
the influence of these adaptations on interactions with other bacteria as well as pathogenesis in various infection models. The Postdoctoral Associate will be responsible for: Isolating DNA from longitudinal
-
in developing and optimizing infection models. In addition, the postdoctoral associate will have the opportunity to work in a collaborative environment, gain experience in studying polymicrobial
-
immunotherapies. The successful candidate will play a pivotal role in modeling the complex tumor microenvironment and its dynamic interactions with therapeutic immune cells. While expertise in in vitro
-
learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting