843 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Swedish University of Agricultural Sciences
- Lunds universitet
- Umeå University
- Linköping University
- SciLifeLab
- Karolinska Institutet (KI)
- Lulea University of Technology
- Uppsala universitet
- Nature Careers
- Umeå universitet
- KTH Royal Institute of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Jönköping University
- Stockholms universitet
- University of Borås
- Karlstad University
- Mälardalen University
- Örebro University
- Blekinge Institute of Technology
- Linnaeus University
- Luleå University of Technology
- University of Gothenburg
- Karlstads universitet
- KTH
- Karolinska Institutet, doctoral positions
- Luleå tekniska universitet
- Luleå university of technology
- Linköpings universitet
- Linneuniversitetet
- 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
- 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
- 56 more »
- « less
-
Field
-
components Qualifications Basic understanding of physics, electronics and electrical equipment Computer skills in excel and/or Matlab Fluent in written and spoken English Ability to take initiative, be
-
MAX IV machine and beamlines. Full time: 100% starting from 15 June and ends 31 July (both included). Your main work tasks will be Participate in spatial metrology network survey of various sections
-
Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
-
beneficial for your application: Experience working with Real-Time Rendering Experience working with Deep Learning Familiarity with Computer Graphics research We offer Lund University is a public authority
-
includes implementing and testing machine learning algorithms on quantum control tasks such as state preparation and qubit reset. You will gain hands-on experience with machine learning techniques and their
-
community and international contacts. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Research subject: Animal Science Description: Sleep is a
-
of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship of Electrical Energy Systems (Prof. Dr.-Ing. habil. Schulz), a position is available as soon as possible for a
-
Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
-
interact with owners, students and colleagues. You also need to meet the requirements for approval as a resident according to EVCS guidelines (see information brochure on the ECVS website, https
-
methodologies from field and greenhouse experiments to genetics, genomics, phenomics, gene editing, biochemistry, physiology and modelling. For more information about the department or division visit: https