47 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions at Nature Careers in Denmark
Sort by
Refine Your Search
-
In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a Postdoc position
-
information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
-
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
-
information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
-
within Ecological Data Science. Start date as soon as possible and end date 31st of December 2028. SustainScapes focuses on providing the scientific basis for rethinking landscapes for restoring
-
and Production Engineering, Faculty of Technical Sciences, Katrinebjergvej 89, 8200 Aarhus N. Contact information For further information please contact: Associate Professor Mahdi Abkar: abkar@mpe.au.dk
-
work is Aarhus University, Campus Viborg, Blichers Allé 20, 8830 Tjele. The affiliation will be with the Department of Agroecology. More information can be obtained from Professor Lis Wollesen de Jonge
-
sensory science/consumer science/food science/food chemistry with a focus in sensory perception and evaluation or related discipline Proven experience in panel leading, sensory methodology and data
-
and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
-
, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is