Sort by
Refine Your Search
-
. Preferred qualifications: Knowledge and experience in dynamics and vibration, discrete element modeling, sensors and data processing techniques, and machine learning modeling. Key responsibilities
-
collaborate with lab members, clinicians, and external partners to advance shared research goals. Take advantage of training, seminars, and networking opportunities to build toward an independent academic
-
approximate tensor-network methods. Analytical skills with integrability, random-matrix theory, dual-unitary circuits, hydrodynamics, or field-theoretic methods are also beneficial. Please provide a CV and a
-
research in areas of concrete decarbonization, utilization of marginal and nonconventional pozzolans, prediction and mitigation of alkali-silica reaction, and development of sensors for assessing concrete
-
to candidates that are proficient with graph neural networks and other scientific machine learning tools. Additional Information: Applicants must complete the Penn State application and must also submit
-
Diagnostic Laboratory System and is a full service, American Association of Veterinary Laboratory Diagnosticians (AAVLD) accredited, National Animal Health Laboratory Network (NAHLN) laboratory with
-
exist for attending conferences to support networking activities. This position will be located at Penn State in University Park, Pennsylvania. On-site and hybrid work options are available
-
using SilverSneakers exercise benefits. There may also be opportunities to contribute to other ongoing research initiatives in the areas of population health, physical activity, social networks