Sort by
Refine Your Search
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Missouri University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- Singapore University of Technology & Design
- University of Birmingham
- University of British Columbia
- Centro de Engenharia Biológica da Universidade do Minho
- National Center for Toxicological Research (NCTR)
- National University of Singapore
- Northeastern University
- UiT The Arctic University of Norway
- University of Beira Interior
- University of South-Eastern Norway
- 5 more »
- « less
-
Field
-
or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
-
» Nuclear engineering Engineering » Control engineering Engineering » Mechanical engineering Physics » Electronics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
-
areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
-
. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems
-
Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
, satellite orbit determination, and HF engineering. Additionally, the group explores fundamental physics problems concerning small-scale ionospheric structures and non-linear radiation belt dynamics
-
) Dermatology-Derm (6) Facilities Operations (6) Otolaryngology (6) Pediatrics-Endocrinology (6) Plan, Design & Construction (6) Surgery-Administration (6) Center for Behavioral Health (5) Institute for Human Dev
-
methods Working as a Postdoctoral fellow requires that you: Work structured, set goals and make plans to achieve them Present and discuss your research with other professionals Engage and contribute
-
. You will lead and apply best practices in materials science and engineering. Key responsibilities include analysing material structures at the atomic level, conducting failure analysis, selecting
-
using innovative methodologies or interdisciplinary approaches. This fellowship is applicant-driven, independently structured, and subject-specific. Applicants should apply only if their primary field
-
approaches. This fellowship is applicant-driven, independently structured, and subject-specific. Applicants should apply only if their primary field of research is law and technology, broadly understood