Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- University of Texas Rio Grande Valley
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- INESC ID
- INESC TEC
- Instituto Pedro Nunes
- UiT The Arctic University of Norway
- CNRS
- Cornell University
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- LINGNAN UNIVERSITY
- National University of Singapore
- Nature Careers
- SUNY University at Buffalo
- Stanford University
- Universidade de Coimbra
- University of Algarve
- University of Bergen
- University of British Columbia
- University of Manchester
- 10 more »
- « less
-
Field
-
Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
-
https://www.ipn.pt/bolsas Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Specific Requirements Master's degree, integrated master's degree
-
their opinion, in a preliminary hearing. Where to apply Website https://www.ipn.pt/bolsas Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Specific
-
Use and operation of research equipment and machines including LPBF, Laser DED, WAAM, Cold Spray System. Operation of instruments including SME, XRD, and testing equipment. Use of personal computer and
-
Use and operation of research equipment and machines including LPBF, Laser DED, WAAM, Cold Spray System. Operation of instruments including SME, XRD, and testing equipment. Use of personal computer and
-
computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
-
sensing, analytical chemistry, materials characterization, organic synthesis, nanomaterials, environmental monitoring, or water quality research. Equipment Use of personal computer and proficiency in
-
(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
-
computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
-
to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide