Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
-
will be doing In this PhD project at NIOO-KNAW you will study a panel of different accessions from a single, geographically widespread dandelion lineage, to (1) identify heritable differences in gene
-
around the modelling protocol: diagnostic checks of scenario submissions against the protocol, and documentation of harmonized assumptions and remaining differences across models Contribute to / develop
-
. The department has a strong international research staff with expertise in dynamical systems, topology, geometry and algebra, as well as in stochastics (statistics, data analytics, probability). Faculty of Science
-
explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in information-seeking
-
collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by clinicians and patients. You also
-
doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
-
, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and
-
PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
of these to explore how different configurations of human-agent teams affect human situation awareness, decision making, and task performance. We are looking for a highly talented and dedicated PhD student with a 1st
-
research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different