Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Chalmers University of Technology
- Jönköping University
- KTH Royal Institute of Technology
- Lunds universitet
- Karlstad University
- Nature Careers
- Blekinge Institute of Technology
- Kungliga Tekniska högskolan
- Lulea University of Technology
- University of Skövde
- 3 more »
- « less
-
Field
-
, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
-
Electrical Engineering or Computer Science or equivalent education that the employer deems relevant. Very good oral and written proficiency in Swedish and English. Software development skills. Machine learning
-
large PhD programme and co-ordinates two international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
-
at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
-
offers a number of programs and courses at the undergraduate, advanced, and postgraduate levels. The social work program has approximately 1,200 students and is offered at both Lund and Helsingborg
-
neurorobotics, cognitive robotics and computational neuroscience. What we offer As Assistant Professor at Lund University, you will develop your qualifications as a researcher and teaching staff member over a
-
high-performance parallel computing systems Other information This is a special fixed-term position (SÄVA) of 6 months, 100 % of full time. Staring date in March 1, 2026 or according to agreement. How
-
fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
-
, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
-
. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular