Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
-
partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
-
partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
-
partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
-
The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a
-
The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary
-
, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Are you passionate about cutting-edge research in Computer Vision and Artificial
-
Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
-
Researcher will work on ongoing and newly developed projects investigating host–microbiome interactions at the gut mucosa interface, based on the following select publications: https://doi.org/10.1016/j.chom
-
research interests in line with the following select publications: https://doi.org/10.1016/j.chom.2024.03.001 ; https://doi.org/10.1038/s41564-023-01464-1 ; https://doi.org/10.1038/s41564-024-01761-3 ; https