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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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group of Prof. Felix Deschler under the remit of the collaborative research center SFB 1249. The positions are available immediately (fixed term contract, end of funding period 31.12.2028). These 3-year
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Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala Universitet. Print4 Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future https
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, Sweden This PhD position is part of the EU-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life ? Advanced Research
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-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing
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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
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Technologies AB, Västerås, Sweden This PhD position is part of the EU-funded project Print4 Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala Universitet. Print4 Life
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm