127 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Finland
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Jyväskylä
- AALTO UNIVERSITY
- Tampere University
- University of Turku
- Itä-Suomen yliopisto
- University of Oulu
- Natural Resources Institute Finland (Luke)
- LUT University
- ELLIS Institute Finland
- Nature Careers
- ;
- Aalto University
- Helsinki Institute of Physics
- KONE
- MAYNOOTH UNIVERSITY
- TAMPERE UNIVERSITY
- University of Helsinki
- 8 more »
- « less
-
Field
-
sustainable workplace learning. https://www.jyu.fi/en/projects/towards-sustainability-of-multigenerational-learning-at-work-gentry Who we are looking for The position emphasizes internationally high-level
-
the University of Helsinki and living in Finland, please 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
-
-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
-
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
-
. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
-
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
-
position within a Research Infrastructure? No Offer Description Research Assistant wanted! Join research on forest and peatland biodiversity and restoration. Work with remote sensing data, machine learning
-
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
-
organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
-
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