Sort by
Refine Your Search
-
main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising
-
programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
-
understanding of fundamental principles behind brain functioning in general. With a strong foundation in music practice and theory at the highest level and a focus on the clinical application of music, MIB
-
frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
-
) with related departments. Who we are Department of Animal and Veterinary Sciences is well-known for its skilled and very innovative interdisciplinary research environments with high international impact
-
of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
-
or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
-
interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food
-
. The position is for 1 year, with the possibility for an extension of at least 1 additional year, based on performance and upon mutual agreement. Description of research project This project aims to develop novel
-
, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative