Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
-
of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
-
of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
-
actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
-
, and reducing dependency on fossil fuels. To contribute to these objectives, the EMMA project targets to convert post-consumer polyolefins into valuable raw materials for high-end applications
-
developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
-
(printed circuit board). The challenge of this research is to both develop thin coatings deposition and identify their physico-chemical structure at the interfacial region, requiring the use of complementary
-
education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting
-
to the development of new methods and assays to study VF functions Participate in and contribute to microbiome- and cancer-related projects Ensure scientific quality management and comply with quality assurance
-
SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
combination of plasma diagnostics (e.g. OES) and surface characterization techniques (FTIR, SIMS, XPS), the project seeks to develop a scientifically grounded, scalable plasma treatment process. The outcome