82 parallel-and-distributed-computing positions at University of Southern Denmark in Denmark
Sort by
Refine Your Search
-
applicant to be involved in knowledge transfer to society, to have administrative responsibilities and to teach and supervise students at all levels of the education program. Finally, we prefer candidates
-
research areas. Profile and requirements You have a PhD degree in Software Engineering, Computer Science, Cybersecurity, or a related field. You have experience in publishing research in high-impact
-
; Biochemistry and Molecular Biology; Mathematics and Computer Science; and Physics, Chemistry, and Pharmacy. Your Role As Scientific Events Manager, you will be responsible for planning, coordinating, and
-
colleagues and study-administration, communication and finance teams. The science faculty consists of four Departments: Biology, Biochemistry and Molecular Biology, Mathematics and Computer Science, and
-
this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine
-
, pharmacy, mathematics, computer science and biology. The Department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy and health
-
projects, and NGO projects. The education and teaching portfolio at SDU LCE covers a broad range of technology courses related to the centers research areas. SDU LCE is responsible for SDU's Master's program
-
Job Description Department of Economics invites applications for student teacher jobs in the autumn semester 2025 at Campus Odense in the following courses: DS810 Data Driven Decision Making https://odin.sdu.dk/sitecore/index.php?a=fagbesk&id=151248&lang=&listid= DS807 Applied machine...
-
, and Education Sciences: The department encompasses a wide range of research areas, including design research, media studies, education sciences, philosophy, information science, library science
-
asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage