173 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Finland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- Tampere University
- Natural Resources Institute Finland (Luke)
- University of Jyväskylä
- University of Oulu
- AALTO UNIVERSITY
- Itä-Suomen yliopisto
- University of Turku
- Nature Careers
- LUT University
- Aalto University
- ELLIS Institute Finland
- University of Helsinki
- VTT
- Academic Europe
- Helsinki Institute for Information Technology
- Helsinki Institute of Physics
- MAYNOOTH UNIVERSITY
- TAMPERE UNIVERSITY
- University of Vaasa
- 10 more »
- « less
-
Field
-
ORCID-profile (https://orcid.org ) works: your publications are listed and public (Set visibility: Everyone). You cannot apply to this job without an ORCID profile. The application documents that should
-
Helsinki, Vaasa, Porvoo, and Hamina. Helsinki, Pitäjänmäki: motors, generators, drives, robots, CPM energy management systems and paper machine drive solutions, global ABB Ability™ platform development, and
-
of Helsinki, it must be applied for separately (https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes ). The requirements for pursuing a doctoral degree at
-
resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
-
. The university lecturer must have the readiness to acquire research funding. The appointee must have an interest to work in a multilingual and multicultural working environment and in crossdisciplinary groups and
-
Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
-
to promoting diversity, equality, and non-discrimination in all its activities. Thus, we promote equal opportunities to learn, acquire knowledge, participate, and make a difference. As an equal-opportunity
-
machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
-
net period of time, which does not include parental leaves, military service etc.) good skills in spoken and written English motivation for research work in aerosol physics or chemistry. Please note
-
) to study talk and interaction in multinational crisis management training. The studied situations involve military and civilian personnel who are trained to participate in international peace-keeping and