159 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Finland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Oulu
- University of Jyväskylä
- AALTO UNIVERSITY
- Tampere University
- University of Turku
- Itä-Suomen yliopisto
- Natural Resources Institute Finland (Luke)
- Nature Careers
- Aalto University
- LUT University
- VTT
- ELLIS Institute Finland
- University of Helsinki
- University of Vaasa
- ;
- Academic Europe
- Helsinki Institute for Information Technology
- Helsinki Institute of Physics
- MAYNOOTH UNIVERSITY
- TAMPERE UNIVERSITY
- 11 more »
- « less
-
Field
-
: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply
-
). Programming skills with Matlab, C/C++ or Python. Research experience in machine learning and artificial intelligence and/or inverse problem applied to imaging applications. Salary The position is fixed-term
-
partners, thereby ensuring that all DCs will spend time in both academia and industry. The details of each project description and further instructions on How to Apply for them can be found at https
-
research environment, with continuous support for learning, training, and professional development. You will receive encouraging supervision in collaboration with Associate Professor Anni Tuppura and
-
important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. More information: https
-
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
-
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
-
research in a supportive and stimulating environment Access to state-of-the-art resources and excellent support for further learning and professional development The University of Helsinki offers
-
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