Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
-
corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
-
Position in Synthetic Biology and Metabolic Engineering (m/w/d) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes Link
-
28.05.2025 Application deadline: 29.07.2025 The Department of Pharmacy and Biochemistry of the Faculty of Science at Tübingen University invites applications for the position of Assistant Professor
-
30.04.2025 Application deadline: 17.06.2025 The Institute for Historical Regional Studies and Historical Ancillary Sciences at the Faculty of Humanities at the University of Tübingen invites
-
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
-
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
-
literature, cultural and media studies, anthropology, sociology, educational and political science, law, history, ethics and sustainability research as well as area studies on Africa, South Asia and Latin
-
student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
-
, 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