Sort by
Refine Your Search
-
to contribute to cutting-edge research initiatives leveraging, analysing, and exploiting non-conventional computer architectures via digital simulation of the system behaviour or via established approximate
-
. Applicants must document academic qualifications in their field, equivalent to a Associate professor position. The successful applicant must be able to teach at all levels and to supervise Master and PhD
-
intelligence methods, notably machine learning, anticipated to play a significant role in advancing sports science and performance. Applications could include training planning, identifying factors limiting
-
, progression, and disease heterogeneity. Among others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions