49 programming-language-"St"-"FEMTO-ST"-"University-of-St"-"St" PhD positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
OpenAirInterface5G software stack. Programming Skills: MATLAB or Python, C/C++. Language Skills: Fluent written and verbal communication skills in English are required. French, German, or Luxembourgish is a plus. We
-
, funded by the Fonds Nationale de la Recherche Luxembourg (FNR, INTER/DFG/25/18860401/ATTUNE) and the German Research Foundation (DFG). Studies show that the foundation for the negative aging attitudes
-
numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
-
Application Deadline 29 Sep 2026 - 09:40 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
, autonomy, result oriented and capacity to work in an interdisciplinary environment Language skills Fluency in English both oral and written. French is consider a big asset. Your LIST benefits An organization
-
Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn
-
Deadline 29 Sep 2026 - 09:29 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
-
motivated by working with an industrial partner Collaborative skills, initiative, autonomy, result oriented and capacity to work in an interdisciplinary environment Language skills Fluency in English both
-
Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report