Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
-
and UUV to support autonomous coordination and mission execution. This includes using relative measurements, shared environmental representations, and synchronized data exchange to enable precise and
-
of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
-
leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
-
analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
-
for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information
-
qualifications, prior experience of corrosion of electronics or similar topics is an advantage. A combination of knowledge in electronics, materials, corrosion, and reliability is preferred. Further information
-
of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means
-
, regardless of personal background and orientation, is encouraged to apply for the position. Contact Further information may be obtained from Professor Xiangyun Du, Director of the AAU UNESCO PBL Centre
-
with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and