Sort by
Refine Your Search
-
networks, risk analysis or uncertainty quantification (preferred). Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills
-
? Which disruptive technologies or paradigms (specific architectures, lightweight adaptation methods, xAI, interpretable-physic awareness, uncertainty quantification, etc.) will you explore? Why is this
-
materials and their thermo-mechanical behavior; experience with PEEK or polyamides is an advantage. Experience with explainable AI, uncertainty quantification, or physics-informed learning. Familiarity with
-
, onboard AI, explainable AI (xAI), and uncertainty quantification, can unlock new insights for environmental sustainability and climate resilience. For example, AI-driven methodologies might be deployed