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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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this PhD project with biomarker data and outcome data, the consortium aims to develop a robust model that can better predict transplantation outcomes. This innovative approach will contribute to more
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epidemiology and statistical and mathematical modelling For appointment at grade 7: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a
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with NXP and ASTRON) on active focal-plane arrays that provide a (relative) wide scan range, we want to explore hybrid antenna concepts for radar. TU/e has developed the dedicated mathematical models and
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as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
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on atomic scale, requiring the development and study of ever more realistic model systems. Single atom catalysts, where the catalytic site contains only a single metal atom supported on a heterogenous
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of how alternative land management practices impact greenhouse-gas fluxes through the development and application of sophisticated modelling tools. The work will involve model development on the Cambridge
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 26 days ago
team spirit Good communication skills Experience programming in python Experience in computational modeling of neural circuits and in the mathematical analysis of neural computations Research experience
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geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology