174 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Finland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Oulu
- Tampere University
- University of Jyväskylä
- AALTO UNIVERSITY
- Natural Resources Institute Finland (Luke)
- Itä-Suomen yliopisto
- University of Turku
- Nature Careers
- Aalto University
- LUT University
- ELLIS Institute Finland
- University of Helsinki
- VTT
- ;
- Academic Europe
- Helsinki Institute for Information Technology
- Helsinki Institute of Physics
- TAMPERE UNIVERSITY
- Turku University of Applied Sciences
- University of Vaasa
- Åbo Akademi University
- 12 more »
- « less
-
Field
-
positions available at the Åbo Akademi University in Turku can be found here: https://www.helsinki.fi/en/researchgroups/immune-endothelial-interfaces How to apply Please submit your application as a single
-
provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information
-
ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning
-
establish independent research groups at FIMM and contribute to the development and application of cutting-edge statistical and machine learning methods in molecular medicine and population health. This group
-
to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
-
data library Apply diverse data science and machine learning methodologies, including the development of novel analytical approaches. Work and communicate efficiently in a highly interdisciplinary
-
have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is
-
curricula and pedagogical practices in teacher education, encompassing themes associated with learning as a teacher, professional development and the ethics of the teaching profession. The appointee will
-
, learning and teacher education. They will mainly teach in the Bachelor’s and Master’s Programmes in Educational Sciences, within the class and subject teacher study tracks, and in other degree programmes
-
Responsibilities The appointee will: Teach in accordance with degree requirements and general guidelines of the Faculty of Social Sciences. Most teaching will take place within the track Global Conflicts