Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
present. Although methods exist to balance early diagnosis benefits and false positive risks for single disease tests, such methods are not available for multi-disease tests. In the MERIT project, we will
-
to the intensional paradoxes. The project is highly interdisciplinary and brings together methods and techniques from philosophy, logic and linguistics. PhD 1 will be conducting research within the Property work
-
someone who demonstrates the following qualities in research and teaching: Research : Holds a PhD in a quantitative field (e.g., methods and statistics, data science, computational social science), or a
-
a deeply synergistic endeavor: foundational AI research on methods that can accelerate scientific discovery, where domain insights from the natural sciences drive the development of better AI. We seek
-
, the ideal candidate is someone who demonstrates the following qualities in research and teaching: Research: Holds a PhD in a quantitative field (e.g., methods and statistics, data science, computational
-
team as PhD candidate on the DECIDE project, an ambitious inter- and transdisciplinary initiative to design AI systems for decision support, that contribute to the empowerment and democratic
-
PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
-
institute of Rotterdam School of Management, Erasmus University (RSM ) and the Erasmus School of Economics (ESE ). Each year, ERIM initiates new and internationally oriented PhD research projects focusing
-
of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2 PhD students to work on this topic in the NWO VIDI sponsored project CANES
-
interdisciplinary and brings together methods and techniques from philosophy, logic and linguistics. You will be conducting research within the Provability work package. The overall goal of this work package is to