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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep
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developing network of academic, industry and professional partners, supported by strong computer literacy and a commitment to responsive, professional service. Sponsorship / work rights for Australia You must
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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scientific work. The project will involve experimental and computational work, and the candidate is expected to be comfortable with working independently with both. Practical experience with structural biology
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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and