99 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
known as Open Innovation in Science (OIS). Place of work and area of employment Ny Munkegade 116, 8000 Aarhus C The IBIS OIS programme is hosted by Aarhus University – and it is part of the larger
-
able to document, relevant to the position: an internationally oriented research profile within STS as documented by a PhD dissertation and/or research publications experience in the self-directed
-
Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
-
The Department of Molecular Biology and Genetics (MBG), Aarhus University invites applications for a permanent position within the areas of proteomics and/or mass spectrometry-driven biology
-
Humanities and the Department of History, by participating in events and presenting own work. Applicants for the positions must hold a PhD degree in history or document equivalent qualifications and must be
-
The Department of Food Science, Aarhus University (Denmark), invites applications for a 24-month postdoc position to work the physical chemistry of food proteins, in particular their structure
-
The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Assistant Professor in the field of adipose and liver biology as per 1st of March 2026
-
The Department of Political Science at Aarhus BSS, Aarhus University, invites applicants for a PhD scholarship in cyber security and hybrid threats in a changing world order. The position is
-
The Center for Quantitative Genetics and Genomics (QGG), Aarhus University seeks an academic employee in the area of data science to work with various livestock based data. The position begins on 15
-
: Background in bioinformatics, statistics, computer science, data science, or related fields with a relevant PhD degree (required). Experience with analyzing large genetic data sets, e.g., UK Biobank, All-of-Us