109 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Leibniz
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The Faculty of Business, Economics and Social Sciences is seeking a professor (W3) of Political Science with a focus on the Global South, combined with the Presidency of the GIGA. The professorship is located
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, agricultural sciences, social sciences, and data science and further develop this expertise in the context of living lab research. The new organizational unit will also cooperate closely with ZALF's existing
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: Completed training as a chemical/biological/medical technical assistant, biology lab technician, or comparable qualification Experience in transmission electron microscopy and the associated preparation
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- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project
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funding activities in the field of research data management or software engineering Our requirements: University degree in computer science, chemistry, physics, mathematics or engineering, completed PhD in
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. Your Qualifications / Experience: completed university degree (bachelor’s or higher) in informatics, mathematics, physics, geosciences or a related field with preferably good results strong interest in
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green lab in Germany. For more information please contact: Prof. Volker Haucke; e-mail: haucke@fmp-berlin.de . Homepage: www.leibniz - fmp.de/haucke How to apply: On the FMP homepage please go to “https
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insights from evolutionary biology, political science, and computational social science. Your tasks and duties Supporting researchers with tasks such as literature reviews, empirical data collection
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down
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infrastructure research programme distributed across several institutes and universities in Germany. The programme aims at innovating the data landscape available for social science research by improving