88 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
-
The Department of Political Science at Aarhus BSS, Aarhus University, invites applications for one or more full professors in political science. The professorship is a full-time and permanent
-
Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
-
, for example in natural sciences, computer science, engineering, or a related field. We expect that you: Have experience with data management and/or development of IT solutions Have experience with
-
the research programme for Language and Communication and the research programme for Linguistics, Cognitive Science and Semiotics , as well as to research in relevant centres, such as the Peter
-
Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
-
in the fields of: Construction Management and Lean Construction. Production Planning and Control. Data-driven analytics and management of construction operations. Construction Informatics, including
-
Natural Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Natural Sciences Tenure Track Programme. Highly qualified
-
the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Researcher for a period of six years with the prospect of performance- based advancement to a tenured position as Senior
-
Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater