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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 19 hours ago
and real-life policy issues, the PhD education also includes internships at prestigious institutions outside of DIW Berlin, for example, the IMF, OECD, or the World Bank. The GC also offers numerous
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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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05.01.2025, Wissenschaftliches Personal The group “sustainable energy materials” offers a position to pursue a PhD (f/m/d) in Electrochemistry / Automation About us: Our group “Sustainable Energy
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Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 19 hours ago
degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS CoNI provides world-class training for doctoral students and aims to nurture the next generation of
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Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two
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Degree Dr rer nat awarded by FU Berlin, HU Berlin, and TU Berlin; PhD awarded by the Charité, FU Berlin, and HU Berlin. Course location Berlin In cooperation with Charité-Universitätsmedizin Berlin
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Beginning Only for doctoral programmes: any time Application deadline It is possible to apply at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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of employment). The successful candidate should possess evidenced (e.g. by relevant PhD thesis and publications) knowledge of stochastic and rough analysis. Knowledge of rough path signatures, numerical methods