Sort by
Refine Your Search
-
Computational Oncology (m/f/d, E13 TV-L) Position Details Start Date: negotiable, available immediately Duration: 3 years (initially) Working Hours: Full-time (100%) Salary: According to German salary scale TV-L
-
” (funded by the German Research Foundation, DFG). PhD Researcher in Computational Linguistics (m/f/d, E13 TV-L, 75%) The position begins on 01 October 2025 and ends on 30 June 2029. The position is
-
in different healthcare domains in our “AI Safety Test Bench” Coordination with our project partners the position is limited to 3 years Your Profile PhD degree in computer science or a related field
-
C5 “Multiple Common Grounds - Linguistic Mechanisms for Literary Meaning” of CRC 1718 (principle investigators: Matthias Bauer, Sigrid Beck, Angelika Zirker). The project investigates the pragmatic
-
Southeast Asia) are welcome. Your Future Tasks: Engage in interdisciplinary research focused on mantras and/as sound, and mantras as unequally distributed sounds. Publish your findings in peer-reviewed
-
, the collective organisation of our outreach programme and other academic events. Applicants must have adequate language skills in academic English to actively participate in the research and qualification
-
information theory. An ideal candidate would also have knowledge of quantum mechanics of complex systems. Formal hiring requirement is a master degree in physics, computer science, or an equivalent degree
-
computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
-
, to February 28th 2027 About ELIAS: Funded by the European Union’s Horizon Europe program, ELIAS aims to place Europe at the forefront of AI-driven sustainable innovation. Building on the success of the ELLIS
-
, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC