32 evolution "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
-
fellowships. Start Date : Flexible; as soon as possible How to Apply Please apply via the VIB online application system ( https://jobs.vib.be/apply/131535 ) and include: A motivation letter of 1-1.5 pagesA
-
are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
you continue pursuing your scientific career. More info and application: https://raeslab.sites.vib.be/e... We offer VIB-KULeuven is an exciting, interdisciplinary research institute with excellent
-
aims to propose a unique swarm-based counter-UAS approach enabling autonomous generation and continuous adaptation of protective swarm behaviours. We are seeking an outstanding Research and Development
-
within the Unit. Promote the strategic vision of the department and institutional policy development, and contribute to relevant ITM committees. Profile & Requirements: Physician specialized in infectious
-
. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM