115 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
or as soon as possible thereafter. The position is a permanent full-time position. As a professor at the Department of Clinical Medicine, you will be part of what is probably the largest health science
-
Aarhus University, Science and Technology, invites applications for a position as Academic Employee at the Department of Agroecology, starting 1st June 2026, or as soon as possible thereafter
-
Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
-
efforts nationally and internationally. To be assessed as qualified for a professor position, you must: Hold a PhD in Weed Science, Plant Ecology or related fields or have similar experience Document
-
We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
-
. The centre gives access to a broad range of infrastructure, tools and expertise including EMBION, the Aarhus university cryo-EM facility and associated scientific computing facility. The Department
-
at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
-
The Department of Physics and Astronomy, Aarhus University, Denmark invites applications for a permanent position as Associate Professor in experimental CERN-related physics. The department seeks
-
next‑generation insect camera traps with on‑device (edge) computing for real‑time detection and classification Collaborating in an interdisciplinary team spanning ecology, computer science, engineering
-
feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify