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Field
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investigation will be zero-knowledge succint non-interactive argument of knowledge-- ZkSNARK. Subsequently, we will formalise the front-end (R1CS) and back-end (Groth16) of ZkSNARK in the Coq theorem prover and
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
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University is recognised for its world-class research, knowledge exchange and educational programmes. At the heart of this is the Faculty of Engineering, which boasts a growing research portfolio of nearly
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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communication skills with the ability to work collaboratively. Ideally, the candidate will have a strong background in molecular biology and/or biochemistry. A good knowledge of genomics and the chemistry
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verification of resilient state estimators for the eVTOL and HESS. Essential and Desirable Criteria - Background: control/mechanical/electrical engineering, physics or computer science - Essential knowledge
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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research income and promoting the research area and write funding applications for independent research. About You You will have a Ph.D/D.Phil in cognitive science or a closely related field with
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degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
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supports European Engineering & Consultancy Ltd. strategic roadmap in the development of a miniature microwave-based RF communication system. A key technology is the crystal oscillator, which is sensitive