Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
analysis Create finalized Tables, Listings, and Figures (TLFs) for statistical reports Produce professional, well-designed graphics Prototype and refine large-scale programs that facilitate data manipulation
-
command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
-
outstanding research in computational physics for modeling of complex physical phenomena. Additional Qualifications Candidates must have experience in carrying out large-scale computational modeling of complex
-
the minimum entrance requirements, the Commonwealth may review later in the application process, if applicable: · Criminal Offender Record Information (C.O.R.I.) and; · Sex Offender Registry
-
large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
-
Operations (FMO) provides a broad portfolio of labor-based services, including building maintenance, landscaping and custodial to a large portion of the University. (FMO) a department Campus Services, offers
-
center. E&F also provides a broad portfolio of labor-based services, including building maintenance, landscaping, and custodial, to a large portion of the University, as well as engineering, technical, and
-
center. E&F also provides a broad portfolio of labor-based services, including building maintenance, landscaping, and custodial, to a large portion of the University, as well as engineering, technical
-
travel to New York to support Shop Builds and/or other show-related preparations for up to 2 weeks at a time. Physical Requirements: Ability to sit, type, and work at a computer for extended periods
-
such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning