46 computer-science-programming-languages-"Prof.-Dr"-"Prof" Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
Sciences' organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidate who is hired will automatically be admitted to the PhD programme
-
contribute to the development of sociology at the department. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme ) and the completion
-
, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan
-
of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
-
requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
-
program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
-
mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
-
Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
-
is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science
-
programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage