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Field
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aligning with NQTP Missions 1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable
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, Physics, Mathematics, Engineering, or a related field. Applicants from other backgrounds with strong quantitative, programming, or analytical experience are also encouraged to apply. Strong programming
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aligned subjects The Project start dates: October 2025 – Home students only January 2026 – Home and International students Supervisors: Aligned programme of study: PhD in Chemical Engineering Mode of study
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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan
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research methods within the pertinent systems engineering and science disciplines. You should have knowledge of programming languages skills either through work experience or from previous research. You will
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, are a bonus. Ability to work both independently and as a part of an international and multidisciplinary research group. Interest in experimental condensed matter physics. Excellent command of English. The
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early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also
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of Arts, Languages and Cultures sits in the Faculty of Humanities, part of the University of Manchester, and is located in the vibrant and diverse city of Manchester. The principles of equality, diversity
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aligning with NQTP Missions 1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural