81 computer-science-data-wahrn-hous Postdoctoral positions at Pennsylvania State University
Sort by
Refine Your Search
-
of funding. POSITION SPECIFICS Dr. Meg Bruening is seeking a highly motivated and collaborative Postdoctoral Scholar to join her dynamic research team in the Department of Nutritional Sciences within
-
Ph.D. in a social science field such as sociology, demography, gerontology, family studies, anthropology, economics, public policy, or related fields using social science approaches (e.g., epidemiology
-
engaged in public scholarship and digital humanities. Applicants must submit: Cover letter CV Research statement Contact information for three references. Application review will begin immediately and
-
. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
-
. Strong skills in structural biology techniques (X-ray crystallography, cryo-EM) are desired but not required. Qualified candidates for the postdoctoral position should have a Ph.D. in biophysics
-
Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows
-
describing their interest in the position and career goals, a CV including publication list, and names & contact information of up to three references. Candidates are encouraged to contact the PI Max Lloyd
-
in the Lab of Dr. Qunhua Li. Potential research projects include (but are not limited to) statistical method development and data analysis of chromatin conformation data and single cell data. A Ph.D
-
for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
-
to support success amongst projects. The primary job functions and responsibilities may include: Project throughput and data monitoring. Data processing, analyses, and documentation. Contribute and lead team