Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of these trials, in collaboration with the staff of the WUR Human Research Unit (HRU); performing data analysis and interpretation; publishing the findings in peer-reviewed journals and presenting research output
-
range of different data analysis and modelling strategies to decipher the mechanisms underlying biological processes. Research subjects range from plant development and adaptation, to the functioning
-
their research interests, such as ethnographic fieldwork, digital media analysis, interviews, surveys, or spatial mapping techniques. You will be asked to: Conduct original research on audience experience in live
-
racialization, heritage negotiation, and governance shape urban experiences. Employing ethnographic methods and discourse analysis, the study focuses on France and/or the Netherlands while remaining open to other
-
multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
-
to prepare and carry out behavioural and brain imaging experiments with healthy adult participants, and support their analysis. You will also support the professional handling of data archiving and ethical
-
the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
-
. This PhD project aims to investigate punitive and other public order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the
-
order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the criminalisation of homelessness in other nations. The PhD
-
(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus