850 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- Swedish University of Agricultural Sciences
- University of Lund
- KTH Royal Institute of Technology
- Uppsala universitet
- Linköping University
- Karolinska Institutet (KI)
- SciLifeLab
- Umeå universitet
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Stockholms universitet
- Lulea University of Technology
- Jönköping University
- Mälardalen University
- University of Gothenburg
- Karlstad University
- University of Borås
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Örebro University
- Linnaeus University
- Luleå University of Technology
- Blekinge Institute of Technology
- Högskolan Väst
- KTH
- Luleå tekniska universitet
- Kungliga Tekniska högskolan
- Linneuniversitetet
- Luleå university of technology
- Academic Europe
- Göteborg Universitet
- Göteborgs Universitet
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Linköpings universitet
- SLU
- Sahlgrenska Academy, University of Gothenburg
- Stockholm University
- Department of Forest Genetics and Plant Physiology
- Department of Political Science, University of Gothenburg
- EFSA - European Food Safety Authority
- European Magnetism Association EMA
- Faculty of Culture and Society
- Faculty of culture and society
- Göteborgs universitet, Department of Marine Sciences
- Higher Education Institute
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Institutionen för växtskyddsbiologi
- LInköpings universitet
- Lule university of technology
- Luleå
- Luleå University of Tehnology
- Luleå tekniska universitet/Luleå University of Technology
- Lund University
- School of Business and Economics, Linnaeus University
- Swedish University of Agricultural Science
- The Institute of Clinical Sciences
- The Swedish University of Agricultural Sciences (SLU)
- The University of Gothenburg
- Umeå Plant Science Center
- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
- 57 more »
- « less
-
Field
-
of machine learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/organisation/liu/ida/stima . Linköping University is
-
an increased interest in adapting and developing the latest machine learning methods for the purpose of malware detection, and preliminary results are encouraging. The specific goals of this project include
-
Helps us to derive novel climate data by combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position
-
contribute to exciting research in theory of machine learning, in a collaborative and dynamic environment. In the rapidly growing area of artificial intelligence (AI), this position is a uniqure chance to
-
degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
-
from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree
-
application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
-
combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
-
application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
-
at the Division of Data Science and AI at the Department of Computer Science and Engineering . Join our innovative team and contribute to exciting research in theory of machine learning, in a collaborative and