30 programming-"the"-"DAAD"-"U"-"Prof"-"Leibniz"-"UCL" Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
-
also advanced scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic
-
that integrates novel innovative research programs towards the green transition in animal agriculture. The position is for 2 years of employment, and there are possibilities for extension to a maximum of 4 years
-
Attractive salary and benefits in accordance with Danish agreements for academic staff, including a competitive pension plan. International, welcoming work environment: The Department of Mathematics hosts
-
. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
-
Programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be
-
. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
-
researcher development programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted
-
multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
-
, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and