Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
non-destructive sample analysis techniques and their technical and sample requirements Experience with cleanroom operations and cleanroom contamination control procedures and monitoring Understanding
-
Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
solid background in citizen science and/or societal engagement - both in theory and in practice. You have recently completed your PhD (or already have a date planned for your defence) and are a strong
-
Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 21 August 2025 Apply now Do you want
-
decolonisation of curricula. Such steps have often, though not exclusively, been taken in collaboration with partners from former colonised countries. COLUMN brings together partners from the creative industries
-
of tolerance, neutrality, and civic inclusion? How is argumentation in favor of secularism (not) loaded with political theological meaning? To what extent do public debates (not) exhibit qualities of rational
-
Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 17 August 2025 Apply now How and why did
-
of interacting with both silica fillers and rubber polymers. These functionalized CNTs will be incorporated into rubber compounds to evaluate their influence on in-rubber properties. Special emphasis is placed
-
Intelligence and Machine Learning into key processes, shifting from manual oversight to real-time anomaly detection and predictive maintenance. This approach reduces downtime and defects. This project will not
-
space systems; Investigating and implementing PQC algorithms to safeguard space data systems against quantum computing threats; Evaluating the performance and security of PQC solutions in the context
-
Intelligence and Machine Learning into key processes, shifting from manual oversight to real-time anomaly detection and predictive maintenance. This approach reduces downtime and defects. This project will not