Sort by
Refine Your Search
-
collaborations with academic partners like ETH Zurich, as well as companies and startups working on applied AI and high-performance computing. The entire curriculum and research infrastructure operate in English
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
-
skills Ability to work in a team German language skills are desirable (communication with local stakeholders) Driving license category B desirable (access to field sites) Your tasks You will conduct
-
working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
-
performance. Application If you are interested in working in our team, please send your application together with a strong CV and supporting documents, e.g., transcripts of records, to Prof. Dr. Allister Loder
-
is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other
-
(E13 TV-L, 100%, 3 years, starting July 2025) 07.04.2025, Wissenschaftliches Personal The Professorship of Political Economy (Prof. Dr. Timo Seidl) invites applications for a PhD position involving
-
. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
-
(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
-
diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in