Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Oulu
- University of Jyväskylä
- Tampere University
- 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
- University of Vaasa
- VTT
- ;
- Academic Europe
- Helsinki Institute for Information Technology
- Helsinki Institute of Physics
- MAYNOOTH UNIVERSITY
- TAMPERE UNIVERSITY
- 11 more »
- « less
-
Field
-
(€) List of publications List of selected 20 publications Instructions, requirements for language skills and models are available on the Faculty’s website at https://www.helsinki.fi/en/faculty-medicine/about
-
see https://www.helsinki.fi/en/about-us/careers . A diverse and equitable study and work culture is essential to us. That is why we do our best to promote an inclusive university community. We encourage
-
- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open positions available at the Åbo Akademi University in Turku can be found here: https
-
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
-
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
-
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