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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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phase (April 2025 – December 2028), the TRR404 offers several PhD and Postdoc positions with starting dates from April 1, 2025 onwards. All vacancies can be found here: https://cfaed.tu-dresden.de/trr
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profiling, circuit tracing, and behavioural analysis to dissect the functional architecture of neural circuits controlling movement. Requirements We are seeking a highly motivated individual who: holds a
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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of expertise: society, nature, technology and culture. Faculties Faculty of Human Sciences Faculty of Humanities Faculty of Social Sciences Faculty of Architecture, Urban Planning and Landscape Planning Faculty
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The research group Genetics and Physiology of Root Development studies crop root anatomical and architectural traits. Research is mainly focused on cereals including barley, wheat, and maize. We
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The research group Genetics and Physiology of Root Development studies crop root anatomical and architectural traits. Research is mainly focused on cereals including barley, wheat, and maize. We
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20.05.2025, Wissenschaftliches Personal A PhD position is available at the high-tech startup lifespin GmbH in Regensburg in a collaboration with the Technical University of Munich (TUM) and the
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 8 hours ago
for the open topic. Application deadline 1 September 2025 for the annual-call application OR rolling deadline for open-topic application Tuition fees per semester in EUR None Combined Master's degree / PhD
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare