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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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of secure Multi-Party Computation (MPC) and Zero-Knowledge (ZK) Proofs. You will investigate the formal design and security analysis of MPC protocols and ZK proofs, with a particular emphasis on foundational
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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addition to CSK from existing KBs) in targeted avenues such as multipurpose robots, along with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable
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the environmental and health impacts of footwear materials. This research sits at the cutting edge of waste and material characterization, material flow analysis and material recycling. This PhD opportunity is part
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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with expertise in transportation science, operations research and applied mathematics, and economics. Responsibilities and qualifications As a PhD student, your overall focus will be to advance the state
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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by