Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Physics
-
Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
-
project that investigates language-related degree-awarding gaps in Dutch higher education. Are you interested in using big data for investigating the role of language in education, and in conducting team
-
materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures for mechanical coupling. We are currently
-
‘Fueling the fire: How do social media contribute to polarization?’ (PI prof. dr. Sanne Kruikemeier) and is embedded in the Strategic Communication group at Wageningen University and Research. In the project
-
addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will
-
methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
-
6 Sep 2025 Job Information Organisation/Company Ghent University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 14 Nov
-
Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University
-
to this. This involves the analysis of a large sample of graded, student-written texts from UvA databases. Important steps constitute the development and validation of automated and potentially LLM-based scoring metrics