Sort by
Refine Your Search
-
their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful organisations do differently
-
. The zero-emission laboratory of MARIN can be used for validation of the control strategies with real components. The candidate will be part of a large team of PhD students working on different aspects
-
around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
-
reused to answer different kinds of questions. This PhD position focuses on developing a semantic model of geodata sources of a given map repository in terms of the questions they can answer, their
-
University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
-
maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
-
answer is: “What do successful organisations do differently on the individual, team, and organisational level to prevent the occurrence of cyber incidents or reduce their impact?” This position focuses
-
answer is: “What do successful organisations do differently on the individual, team, and organisational level to prevent the occurrence of cyber incidents or reduce their impact?” This position focuses
-
to recognize and critically reflect on the influence of both linguistic and multimodal forms of communication. For example, how words like “riot” versus “demonstration” frame the same event very differently
-
security vulnerabilities. You will innovate the Find2Fix pipeline by making the different steps, including found issues and suggested patches, easier to understand using interpretable AI using state machine