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further information, please feel free to contact Prof. Dr. Thorsten Schnurbusch Tel.: +49 39482 5341directly. What you need to know: For us, your qualifications and strengths count. Therefore, everyone
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on the analysis of observational and modelling data. This includes methods for analyzing different and in particular inhomogeneous data sets, also with the help of artificial intelligence (AI) methods, as
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(GRK) 3096 “One Health Approach to Soil-Transmitted Helminths,” successful applicants will work on scientific projects in an interdisciplinary manner within a structured program. The projects address
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degree at a German university Duration of the funding Approx. 2 years depending on the duration of the Master's programme Value Co-funded by COLFUTURO and DAAD Intensive German course in Germany (up to 6
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paid back in full or in part. This is based upon the guidelines of the Colfuturo sponsorship programme "Créditos-Beca para estudios de Posgrado en el Exterior". Selection Candidates are selected by a
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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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of multiple impacts of climate change on wine-growing landscapes, landscape functions and ecosystem services quantitative numerical approaches to assess landscape functions and ecosystem services such as water
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 23/2025/2 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Leibniz
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Sub-Saharan Africa with the capacity
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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special payment