Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- INESC ID
- National University of Singapore
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Harvard University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Politécnico de Leiria
- University of Stavanger
- University of Texas at Austin
- NTNU Norwegian University of Science and Technology
- OsloMet
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UiT The Arctic University of Norway
- Universidade de Coimbra
- Cornell University
- LINGNAN UNIVERSITY
- University of Bergen
- University of British Columbia
- University of Michigan
- ADELAIDE UNIVERSITY
- Centro de Engenharia Biológica da Universidade do Minho
- FCiências.ID
- Instituto de Telecomunicações
- Plymouth University
- Queen's University Belfast;
- Rutgers University
- Singapore University of Technology & Design
- The University of Alabama
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of Minho
- University of South-Eastern Norway
- Zintellect
- American University
- Barnard College
- CSIRO
- Carnegie Mellon University
- City of Hope
- Coventry University Group;
- European Space Agency
- FEUP
- Faculty of Electrical Engineering in Osijek
- Flinders University
- Gulbenkian Institute for Molecular Medicine
- Hong Kong Polytechnic University
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- King Abdullah University of Science and Technology
- King's College London
- Montana State University
- National Laboratory of Energy and Geology
- National Renewable Energy Laboratory NREL
- Northeastern University
- Oxford Brookes University;
- QUEENS UNIVERSITY BELFAST
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- SUNY University at Buffalo
- The University of Southampton
- Universidade do Minho
- University of Agder
- University of Alabama, Tuscaloosa
- University of Arkansas
- University of Bath
- University of Birmingham
- University of Canterbury
- University of Colorado
- University of Denver
- University of Illinois at Springfield
- University of Kansas Medical Center
- University of Nottingham
- University of Otago
- University of Oxford
- University of Porto
- University of Rhode Island
- University of Strathclyde;
- University of Sydney
- University of Tasmania
- Université Gustave Eiffel
- Łukasiewicz PORT
- 74 more »
- « less
-
Field
-
testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
-
: PhD degree in Electrical Engineering, Computer Science, or related field PhD students who have completed/are completing their thesis are welcome to apply Knowledge and experience in computer vision
-
Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
-
representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
-
Engineering Faculty/Department-Level Unit: Electrical and Computer Engineering Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 22/04/2026 Job Description A Research Fellow
-
Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
-
projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software engineering. This role requires strong academic writing skills and the
-
if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree
-
, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures
-
Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in