Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
-
candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) - exploring approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis
-
, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups
-
satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
-
across national contexts Work with state-of-the-art research platforms provided by the Impresso project : https://impresso-project.ch/ Contribute to teaching and supervision activities at MA level
-
/ProvinceLuxembourgCityEsch-sur-AlzettePostal Code4362Street5 Av. des Hauts-FourneauxGeofield Contact City Esch-Belval Website http://www.list.lu/ Street 5, avenue des Hauts-Fourneaux Postal Code L-4362 E-Mail jobs@list.lu
-
Website http://www.list.lu/ Street 5, avenue des Hauts-Fourneaux Postal Code L-4362 E-Mail jobs@list.lu STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
-
, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
-
, management, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en
-
ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K