105 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs in Finland
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Oulu
- University of Jyväskylä
- University of Turku
- Tampere University
- Natural Resources Institute Finland (Luke)
- AALTO UNIVERSITY
- Itä-Suomen yliopisto
- Nature Careers
- Aalto University
- ELLIS Institute Finland
- LUT University
- Helsinki Institute for Information Technology
- Helsinki Institute of Physics
- MAYNOOTH UNIVERSITY
- TAMPERE UNIVERSITY
- University of Helsinki
- 7 more »
- « less
-
Field
-
to the construction of the database, we offer an opportunity to conduct your own research on the project’s themes with an especial view to facilitating your career development. We offer the possibility to learn and
-
-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational
-
our website to learn more. How to apply? Submit your application by using our electronic application form no later than 6 February 2026 by 24:00 (midnight) Finnish time (UTC+2). Please note that you
-
pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
-
of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
-
of Computing The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent
-
society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent Systems, Cybersecurity and Health Technology. The Faculty of Technology is the newest
-
volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large
-
microelectronic hardware. Preclinical in-vitro and in-vivo testing of devices and methods will allow real world validation of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview
-
note that, the selected candidate must apply for a study right within the doctoral program at Tampere University, unless they already have one. Please visit the admissions webpage https://www.tuni.fi/en