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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Top-down partitioning of net ecosystem exchange (NEE) on regional scales for 3 years, starting in September
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is
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Faculty of Mathematics and Natural Sciences PhD Position (f/m/x) Humboldt Centre for Nano- and Biophotonics | Gather Lab We are one of the largest and oldest universities in Europe and one
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Your Job: This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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About us The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University
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beyond those of the individual building blocks. To date, these structure-property relationships of the assembled particles are not adequately understood. The technological visions of these new materials
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for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron scattering data! You will be working in a
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, for example, in the field of material sciences. The three main PhD programmes, Molecular Medicine, Infection Biology/DEWIN, and Regenerative Sciences, start annually in October. The deadline for applications is
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Description This PhD project builds on ongoing research projects in the area of photocatalytic membranes at IAMT. Current work will be expanded to (select) novel materials and membrane preparation
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-matter.uni-tuebingen.de/ We are currently looking for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron