671 machine-learning "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" uni jobs at University of Pennsylvania
Sort by
Refine Your Search
-
Listed
-
Field
-
Learning Developer Job Profile Title Librarian C Job Description Summary The Research Data and Digital Scholarship (RDDS) team at the University of Pennsylvania Libraries is looking for an AI & Machine
-
, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
-
Infrastructure and Engineering Lead the design, evaluation, and evolution of the department’s centralized research data infrastructure supporting neurosurgical research, scalable analytics, and machine learning
-
computer software including web applications, online systems, data management and reporting tools, and standard office packages (Word, Excel, electronic mail), with an ability to learn new software
-
, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
-
medical marijuana on quality of life for patients with advanced cancer and 2) supporting Dr. Gary Weissman’s team, the Clinical Artificial Intelligence and Machine Learning (CAIML) Lab. The CAIML Lab seeks
-
, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
-
regulations. Strong computer skills, particularly Microsoft Excel. Desire to learn and develop as a compensation professional. Ability to work quickly and efficiently in a flexible, often ambiguous
-
connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
-
, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay