Sort by
Refine Your Search
-
Category
-
Employer
- Susquehanna International Group
- University of Utah
- Claremont Graduate University
- Fermilab
- Institute for Basic Science
- Medical College of Wisconsin
- Memorial Sloan-Kettering Cancer Center
- Purdue University
- University of California, Berkeley
- University of Delaware
- University of Maryland, Baltimore
- University of Miami
- University of New Hampshire – Main Campus
- University of Texas at Austin
- 4 more »
- « less
-
Field
-
to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
-
standard operating procedures for assays and routine methodologies for tech transfer to GMP operations Analyzing data and creating graphs using appropriate software (e.g., SoftMax Pro, Excel, Prism) and data
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
-
of the detector upgrade. The LPC is also a major hub for Machine Learning developments for particle physics. There is close and frequent collaboration with the Fermilab theory community. The LPC provides
-
scientific software (Excel, Word, PowerPoint, Adobe Illustrator/Photoshop, Graph pad Prism); demonstrate the ability to work independently and contribute to a team environment; help to create and maintain a
-
experience working with rodents in the field of microbiome, molecular biology and cell culture; knowledge of microbiology, chemistry, mathematics, statistics, documentation, records management, data
-
to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Mathematics at the University of Miami is seeking outstanding candidates to fill a Research
-
Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
-
strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
-
Institute for Basic Science, Center for Theoretical Physics of the Universe (CTPU)/Particle theory and cosmology (PTC) Position ID: IBS -CTPUPTC -SENIORRESEARCHER [#29853] Position Title: Position