Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- University of Arkansas
- The University of Arizona
- New York University
- Tilburg University
- ;
- Auburn University
- FLINDERS UNIVERSITY
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Istituto Nazionale di Fisica Nucleare
- Johns Hopkins University
- LINGNAN UNIVERSITY
- MAYNOOTH UNIVERSITY
- Nanyang Technological University
- Newcastle University
- Princeton University
- Texas A&M University
- The University of Tokyo
- University of Michigan
- University of Minnesota
- University of Oklahoma
- University of Pennsylvania
- University of Tennessee, Knoxville
- University of Texas at Dallas
- University of Utah
- University of Washington
- Virginia Tech
- 17 more »
- « less
-
Field
-
options; and retirement benefits (all subject to terms established by NYU as described at https://www.nyu.edu/employees/benefit/full-time/professional-research-staff.html). NYU considers factors such as
-
. Experience in molecular modelling, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level
-
heterogeneous data for machine learning”. Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Research FieldComputer
-
applying machine learning to brain imaging analysis. * Assigned department Existing departments [Work location] * Address 113-8657 Tokyo 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 [Number of hired] Number
-
req24524 Department Vet Med Administration Department Website Link https://vetmed.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The College of Veterinary Medicine, with
-
background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
-
background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
-
resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
-
development and factors influencing overall health and well-being (https://www.youthshape.us/ ). Your efforts will contribute to the development of products designed specifically for children, such as clothing
-
Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details