Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
1 Jan 2026 Job Information Organisation/Company LInköpings universitet Research Field Mathematics » Computational mathematics Researcher Profile First Stage Researcher (R1) Country Sweden
-
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
-
administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
-
or outside Sweden, may also be accepted. Selection criteria Among eligible applicants, selection is based primarily on: • ability to benefit from the doctoral programme • previous academic performance
-
of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
-
Jönköping along Lake Vättern, JIBS offers a high-quality work environment combined with a lively urban atmosphere. The mid-sized city (approximately 100,000 inhabitants) provides affordable housing, numerous
-
Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world
-
another, and we place great importance on various forms of collaboration. Description of the project This PhD project will investigate the functional performance, pathological vulnerability, and therapeutic
-
teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive competitive
-
student in Statistics who can perform high quality statistical research. Apply January 6, 2026, at the latest. We are seeking a PhD student within the WASP-HS project “Machine learning to study causality