Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Software defines a critical part of our society’s digitalization. Within the Software Engineering and Education (SEE) research group, we expand the research front on processes, methods, and tools
-
11 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
-
10 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
-
Software Program, Sweden's largest individual research program ever---, and one leading to a joint degree in KTH Royal Institute of Technology (Sweden) and Nanyang Technological University Singapore
-
epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
-
large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering
-
life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
-
. For further information about a specific subject see General syllabus for the Board of the faculty of science and technology Further information The fully funded employment as a PhD student is limited to 4
-
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
-
application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning