Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Chalmers University of Technology
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Mälardalen University
- Nature Careers
- Örebro University
- Linnaeus University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- University of Borås
- ;
- KTH
- WORLD MARITIME UNIVERSITY (WMU)
- 8 more »
- « less
-
Field
-
-based analysis of the samples with cell-based assays. Qualifications To qualify for this appointment as a teaching assistant, you must be admitted to a study programme (master's level). It is also an
-
Institute of Advanced Neutron and X-ray Science. AMBER is funded by the EU’s Marie Skłodowska-Curie (MSCA) COFUND programme. Approximately 14 postdoctoral fellows will be recruited in this first call, and
-
sustainable future through materials science. All early-stage researchers recruited into the WISE programme will be a part of the WISE Research School , an ambitious nationwide programme of seminars, courses
-
Sweden's largest individual research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industry
-
and content of the energy engineering programme. Excellent written and spoken English skills. Strong collaboration and communication skills. Merits Experience in collecting and analysing both
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
-
educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs
-
completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of at least 240 higher education credits, of which 60 credits
-
., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is