Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Michigan State University
- Susquehanna International Group
- The Ohio State University
- University of Texas at Austin
- Brookhaven Lab
- Brookhaven National Laboratory
- Drexel University
- Institute for Basic Science
- National Renewable Energy Laboratory NREL
- Nature Careers
- State University of New York University at Albany
- Temple University
- Texas A&M AgriLife
- The University of Iowa
- University of California, Los Angeles
- University of Florida
- University of Minnesota
- University of New Hampshire
- University of St. Thomas
- University of Utah
- 10 more »
- « less
-
Field
-
emission of a hydrogen plasma. Extend the quantum computing algorithm to a time-dependent system. Formulate the quantum scattering problem of electron impact ionization and excitation in a hydrogen and
-
anticipated include imaging phantom-based evaluation of quantitative SPECT/CT; reconstruction algorithm development; establishing a secondary standards laboratory for unsealed source metrology through gamma
-
), physics-informed generative modeling and representation learning, domain adaptation, ML-assisted lattice field theory, and quantum algorithms and Hamiltonian simulation for high-energy physics, etc
-
preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
-
programs development. This position will work closely with the Center’s Director and collaborate closely with faculty, industry partners, and students to lead high-impact projects in microgrids, distributed
-
of systems, equipment, and facilities for the production, processing, storage, handling, distribution, and use of food, feed, and fiber. This position offers an opportunity to work on innovative projects
-
of systems, equipment, and facilities for the production, processing, storage, handling, distribution, and use of food, feed, and fiber. This position offers an opportunity to work on innovative projects
-
modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
-
join a growing, interdisciplinary team whose projects span laboratory-level and nationally significant DOE missions. Essential Duties and Responsibilities Develop novel machine learning algorithms and
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit