-
representation and knowledge graphs; programming skills in Python and knowledge of relevant NLP libraries (e.g. spaCy, Hugging Face Transformers); good English communication skills and an interest in
-
research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
-
, creativity, rigor, ownership, and excitement to push research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, data management, and
-
) develop dedicated representations for catalyst mixtures; 2) apply the developed representations to building predictive models for catalyst activity and selectivity; 3) employ the developed representations
-
international nature conservation, the relationship between fieldwork and laboratory research, man's changing relationship with ‘wild’ animals, and the representation of science in broader culture. Raf De Bont is