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wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning
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. The project involves close collaboration with experimentalists who provide the relevant data. Machine learning methods will be applied to link experimental (imaging) data to a mechanistic model. The results
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of records, link to Master thesis (if already completed), and the names, affiliation, and e-mail addresses of two references) by December 5, 2025 (stamped arrival date of the university central mail
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. The positions are for a fixed term of three or four years (please check the details in the project link). Further information on the project is available at https://www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe
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within the Institute of Theoretical Computer Science at TU Dresden. The main research area is the design and analysis of algorithms and data structures, with possible focus areas including randomized
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for Environmental Research – UFZ. It investigates how resilient different hydrological systems worldwide are to climatic changes and extreme events. To this end, hydrometric event signatures are linked to isotope
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application electronically by 1 December 2025 following the link for vacancies on our homepage (under ‘Career’), or by going directly to the online application form using the link below. Interviews will
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Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
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on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76057 . For more information get in touch with Chhana Ullah directly via E-Mail: chhana.ullah@uni
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considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers