Sort by
Refine Your Search
-
the NCO will consist of an extensive survey data collection on gender cultures in Dutch secondary schools. This dataset will be linked to register data from Statistics Netherlands (CBS). In the PhD project
-
our colleagues. You have not yet given permission to place the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via
-
of fundamental scientific and applied knowledge to better understand the cognitive and neurobiological mechanisms of psychopathology. We study clinically relevant processes such as biased information and affective
-
Bayesian or Credal network) is annotated with the origin of the information it captures. This allows for accountable development and use of these systems. Your task will be to study how accountability can be
-
. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in the environmental impact of IT systems. You can extend these data flow diagrams
-
15 Mar 2025 Job Information Organisation/Company Radboud University Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 14 Apr 2025 - 00:00
-
related questions regarding the neural basis of visual perception and decision-making. It is part of a larger project on visual information processing in the brain, conducted in collaboration with Dr Sam
-
the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to Dr
-
the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to dr. Marij van Strien. In the application
-
(automated machine learning) to make better data science. On the one hand, you will work on learning Bayesian networks supported by AutoML. This will allow for the development of reproducible, data-driven