Sort by
Refine Your Search
-
the impact of molecular rearrengements on the performance, shelf lifetime and stability of electronics. Our goal is to define a physical framework capable to predict relevant timescales.The successful
-
models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
-
of 4 years in total). The mandate starts from 1 October 2025. The research should result in a PhD thesis in 4 years. Within KU Leuven, the candidate joins the doctoral school ‘Exercise and Physical
-
of Western Europe Eligibility criteria PhD student: MSc degree in Bioscience Engineering, Civil or Environmental Engineering, Hydrology, Meteorology, Remotely Sensed Earth Observation, Physics, Mathematics
-
Dutch, French and English is a must. The candidate has an interest in education and good didactic skills. The candidate likes to work in a vibrant team of dynamic and driven researchers. Selection process
-
, Physics or a closely related field. Demonstrated experience and a strong interest in data analysis, preferably using Python. A keen intellectual curiosity about the economics of data, digital finance, and