Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Duke University
- University of Groningen
- ;
- University of Oxford
- Cornell University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Virginia Tech
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- North Carolina A&T State University
- Baylor College of Medicine
- Harvard University
- King's College London
- Nature Careers
- Oak Ridge National Laboratory
- SciLifeLab
- Stanford University
- Stony Brook University
- University of Colorado
- University of Maryland, Baltimore
- University of Minnesota
- University of Zurich Blockchain Center
- Utrecht University
- Zintellect
- Argonne
- Blekinge Institute of Technology
- Boston University
- Chalmers University of Technology
- ETH Zurich
- East Carolina University
- Emory University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Fred Hutchinson Cancer Center
- George Washington University
- Ghent University
- Institut Pasteur
- Iowa State University
- KINGS COLLEGE LONDON
- Linnaeus University
- Medical College of Wisconsin
- Missouri University of Science and Technology
- New York University
- Princeton University
- RIKEN
- Rutgers University
- SUNY University at Buffalo
- Saint Louis University
- Singapore Institute of Technology
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- The University of Arizona
- The University of Iowa
- The University of Memphis
- UNIVERSITY COLLEGE DUBLIN (UCD)
- Umeå University
- University College Cork
- University of Arkansas
- University of Iowa
- University of London
- University of Nottingham
- University of Oklahoma
- University of Oregon
- University of Tübingen
- 57 more »
- « less
-
Field
-
immunological approaches to understand the mechanisms of cancer predisposition, initiation, and progression and to develop agents (compounds, antibodies, and vaccines). Job Duties Functions independently
-
Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
-
, chemicals, infectious agents, animals, human subjects, and the like open and timely discussion with the mentor regarding all facets of the postdoctoral Appointee's research activities. Postdoctoral Appointees
-
Initiative’s mission, potentially including studies on political dimensions of risk frameworks, economic subsystem coupling, and multi-level agent interactions. The successful candidate will participate in
-
University of Arizona working in the area of reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence. We invite qualified candidates to join our group and participate in
-
, chemicals, infectious agents, animals, human subjects, and the like open and timely discussion with the mentor regarding all facets of the postdoctoral Appointee's research activities. Postdoctoral Appointees
-
includes ecologists, economists, apple growers, extension agents, and industry professionals. This is a great opportunity for a scientist interested in the intersection of ecology, sociology, and agriculture
-
, and immunological approaches to understand the mechanisms of cancer predisposition, initiation, and progression and to develop agents (compounds, antibodies, and vaccines). Job Duties Functions
-
(or up to the end of June 2028). You will undertake original research on multi-agent reinforcement learning to coordinate grid-edge flexibility across spatial and temporal scales, while accounting
-
and haptics feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have