178 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Leibniz in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as Scientific Programmer (f/m/d
-
of the University of Trier In order to apply, please register with our online portal here https://leibniz-psychology.onlyfy.jobs/application/apply/cqd93u4mssr06rnvotewpjbkrllsbvj and upload the following documents
-
The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
-
(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Software Engineer for Digital Research Infrastructure (m/f/d
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
-
of family and career Excellent conditions for developing a scientific career, including: in-depth knowledge in the fields of liver research and toxicology (Examples of our publications: https://doi.org
-
of mass spectrometers (together with the engineer). Develop and validate new analytical protocols (together with the technician). Test and optimize instrument parameters for different applications needed by
-
preference. Your application: We are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job-offers/) as one single pdf-file by 15.02.2026. If you have questions or require
-
yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector