Sort by
Refine Your Search
-
This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic Chalcogenide
-
research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
-
group at University of Luxembourg, led by Prof. Jan Lagerwall (project coordinator), the Soft and Biofunctional Materials group at NOVA University Lisbon, Portugal, led by Prof. Maria Helena Godinho, and
-
, the project PSYBER - Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof. Pedro Cardoso-Leite (Faculty of Social Science
-
Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell-signalling/ ), led by Prof. Alexander Skupin, which focuses
-
The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
-
The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information
-
will work under the main supervision of Prof. Holger Voos and will be required to perform the following tasks: Carry out the aforementioned research with collaborators at the SnT and at INRIA Lille
-
Applications should include: Curriculum Vitae Cover letter Contact information of two or three referees Research statement and topics of particular interest to the candidate (max 1 page) Early application is highly encouraged, as the applications will be processed upon reception. To ensure full...
-
computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning