858 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- Karolinska Institutet (KI)
- Lulea University of Technology
- Umeå universitet
- KTH Royal Institute of Technology
- Nature Careers
- Uppsala universitet
- Jönköping University
- Umeå universitet stipendiemodul
- University of Borås
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Mälardalen University
- Karlstad University
- Luleå tekniska universitet
- Örebro University
- Blekinge Institute of Technology
- Linnaeus University
- Luleå University of Technology
- University of Gothenburg
- KTH
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Luleå university of technology
- Linköpings universitet
- Linneuniversitetet
- Lund University
- Academic Europe
- Göteborgs Universitet
- Högskolan Väst
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- SLU
- Stockholm University
- Umea University
- Department of Forest Genetics and Plant Physiology
- EFSA - European Food Safety Authority
- European Magnetism Association EMA
- Faculty of Culture and Society
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Higher Education Institute
- IFM/Linköping University
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Institutionen för växtskyddsbiologi
- Kungliga Tekniska högskolan
- LInköpings universitet
- Linnéuniversitetet
- Lule university of technology
- Luleå
- Luleå tekniska universitet/Luleå University of Technology
- School of Business and Economics, Linnaeus University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
- 53 more »
- « less
-
Field
-
Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
-
such as the heart and nervous system, invariably with fatal consequences. The project will focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles
-
experiments. For more information about our group and current projects, please visit https://qtech.fysik.su.se/ . This project is funded within the QuantERA II Programme that has received funding from the EU
-
. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
-
deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
-
in full-text format) Only documents written in Swedish, English, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site: https://www.oru.se/english
-
independent courses at an advanced level in occupational therapy and can award an advanced level degree in occupational therapy. The Occupational Therapy program (https://www.gu.se/studera/hitta-utbildning
-
) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
-
computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
-
experience in manufacturing systems modeling, simulation (i.e., DES), and digital twins. • Good knowledge and experience in machine learning, reinforcement learning, and AI-based optimization for production