34 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Tübingen
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
26.01.2026 Application deadline: 11.03.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Early Hominin Evolution (m/w/d) at the Department
-
30.01.2026 Application deadline: 15.02.2026 The Plant Ecology Group at the University of Tübingen is looking for Two PhD students (m/f/d, E13 TV-L, 50%) within the SAGE Centre (https://sage
-
promotion of mentoring and career development programs (e.g. Athene Program). Monitor, document, and evaluate equality and diversity activities, and contribute to reporting and assessment at cluster and
-
particle physics. In all of these areas, methodological development through machine learning is taking place — for example, in predicting the evolution of complex molecular systems over long timescales
-
. Tübingen is an international, dynamic, and lively university town. For more details about the ZMBP, please visit: http://www.zmbp.uni-tuebingen.de/zmbp.html How to apply Interested applicants should submit a
-
programme, please see https://uni-tuebingen.de/en/faculties/faculty-of-science/doctoral-studies/ and https://www.phd.tuebingen.mpg.de/imprs? Assessment Submitted applications will be reviewed by IMPRS
-
of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
-
machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
-
of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
-
machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute