171 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Leibniz
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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
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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
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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
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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
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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
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by the University of Hamburg. All further information on the application process and contacts can be found here: https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID
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The Leibniz Institute for Jewish History and Culture – Simon Dubnow is seeking to fill the following position by 1 May 2026: Research Associate “Ignaz Goldziher Program for Jewish-Muslim Studies
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Founded in 1991, the University of Potsdam has firmly established itself in the scientific landscape and has become an outstanding economic factor and development engine for the region. It has a
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’ political preferences identified through content analysis (https://manifestoproject.wzb.eu ). The WZB Berlin Social Science Center is a publicly funded research institution that conducts cutting-edge theory
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in