Sort by
Refine Your Search
-
Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
-
(e.g. in machine learning, artificial intelligence, computer science, or a related discipline with an educational focus) Strong methodological research expertise in: Applying machine learning techniques
-
21.04.2026 Application deadline : 08.05.2026 At the Institute of Education at the University of Tübingen, a position as Research Associate in the area of learning sciences (m/f/d, E13 TV-L, 75%, 4
-
Your profile: Background in Psychology, Educational Science, Computer Science, Neuroscience, or a related field Fluent in German Strong verbal communication skills Ability to work independently and
-
28 Mar 2026 Job Information Organisation/Company University of Tübingen Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 17 Apr 2026 - 23:00
-
large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
-
”. A precondition for application would be a Master degree in economics (or alternatively, an current enrolment in a doctoral student program in economics). We expect previous activities in economic
-
40 laboratories at the University of Tübingen, the University Hospital Tübingen, and the Max Planck Institute for Biology in a stimulating, highly interactive research environment, covering molecular
-
: Enrollment in a Master’s or Ph.D. program at the University of Tübingen Responsibilities The Student Assistant will work closely with CSU exchange students to support their academic experience and facilitate
-
strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic