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Internal doctoral candidate: no tuition fees External doctoral candidate: 2,280 EUR per semester Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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www.asp.uni-jena.de/open_positions and apply within the stated deadlines. We also accept unsolicited applications at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes
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English and German Our Offer: We work on highly topical, socially-relevant issues and offer you the opportunity to actively shape change! We offer you optimal conditions for the successful completion
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generation routing and power distribution network generation for efficient timing closure and sign-off, including signal integrity Optimize design for power, performance, and area (PPA) Contribute to defining
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17.03.2025 Application deadline: 31.08.2025 The group “Physics of molecular and biological materials” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m
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positions) : the deadline depends on the respective advertised open positions. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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dehydrogenation with various oxidants. Evaluate concepts, test catalysts, and design and optimize continuous plants. Your tasks in detail: Conceive chemical processes based on thermodynamic principles and
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 9 hours ago
assist the research progress of doctoral students towards graduation without delays, thus ensuring an optimal graduation time of four years for PhD candidates. Because of the close ties with the research
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thesis is the implementation of these technologies in an integrated energy system model that represents all sectors of the energy system with a high degree of technological detail. This optimization model