854 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" 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
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD position in Computing Science with a focus on machine learning for graph
-
, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
-
relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have documented experience in
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
-
meritorious include: Knowledge of machine learning, reinforcement learning, and optimization, Experience with multi‑modal sensor data (vision, force/torque, proprioception), Experience with simulation
-
world. We look forward to receiving your 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