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overall focus will be on the design, fabrication and characterization of an endoscope able to generate and collect ultrasound signals, integrating piezoelectric materials and devices onto optical fibers
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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membranes. You will work closely with our partner institutions and collaborators in both projects, including DTU Energy, EPFL and Max Planck Stuttgart. Your primary tasks will be to: Design and fabricate
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tasks will include both theoretical and empirical research on regenerative entrepreneurship. The candidate is expected to contribute to the theoretical advancement of the field, design and conduct
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a highly interdisplinary projects where the PhD student will learn and develop skills in sustainable material design, membrane technologies, prospective life cycle assessment, and industrial
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diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also create multi-fidelity predictive
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
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Develop optimization frameworks for policy design in urban transportation planning that explicitly incorporate societal considerations with a focus on inequity aversion of the social planner Apply
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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