Sort by
Refine Your Search
-
. Has experience with qualitative and/or quantitative research methods. Has excellent communicative and project management skills to handle the multiple stakeholders involved in the project (e.g
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
criminalisation of homelessness in other nations. The PhD researcher will be expected to employ doctrinal legal research methods as well as conduct a comparative analysis between jurisdictions. Depending
-
The intersection of physical and digital space in shaping collective or individual experiences Audience movement within the venue using methods of geo-tracking or spatial mapping Feelings of safety, comfort, and
-
in the northern part of the Netherlands were connected to their wider world. Central to the project will be the analysis of various ceramic assemblages with a wide scope of methods in order to
-
strong translational and societal impact component. We are looking for enthusiastic and talented PhD candidates with Essential qualifications An excellent MSc degree in Biomedical Sciences, Molecular
-
PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
contributing to global discussions. The candidate will develop strong research skills, with particular focus on participatory methods, and approaches grounded in cultural heritage and critical studies. The PhD
-
. • Has strong analytical skills and can work independently. • Has excellent communication skills in Dutch and English. • Is comfortable with both quantitative and qualitative methods (surveys, interviews
-
some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about writing international, prestigious academic publications Dutch language is not
-
to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and