Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
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
-
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
-
together methods and techniques from philosophy, logic and linguistics. You will be conducting research within the Propositions work package. The overall goal of this work package is to develop an account of
-
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
-
Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
-
Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
-
team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor