Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
-
Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
-
& Applications. The Signal Processing and Communications (SIGCOM) research group of SnT conducts research aimed at designing, emulating and testing new high-performance systems for the future of mobile and
-
proximity operations in collaboration with Redwire Space Luxembourg. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely
-
Researcher will be in charge of : Realizing empirical research in the general field of development economics, and in particular related to the ROAD project Collaborating with the PhD candidate hired
-
that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
-
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The successful candidate is expected
-
semester Contribution to the outreach activities of the Department of mathematics, e.g. participation to public events open to high-school students, or to the general public Your profile PhD of high quality
-
their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
-
profile Research experience, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge