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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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chemistry and in the chemical and structural characterisation of extended or molecular solids. You will be expected to manage your own academic research and administrative activities. This involves small
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group with responsibility for carrying out research on the spin-resolved electronic structures of quantum materials, such as topological quantum materials and unconventional magnetic systems, making use
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
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well as proficiency in data analysis and coding. Your writing and communication skills allow you to interact effectively with different academic communities. Applications should include responses to each
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. Strong verbal and written communication skills are vital, along with the ability to convey research ideas and results clearly and logically, and to interact confidently and effectively with colleagues and
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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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understand how these factors influence the accuracy of outbreak origin dating, patterns of virus-host associations, and the evolutionary signals underlying the emergence of novel pathogen variants. Structural
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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cytometry, genomics, and molecular biology. We maintain close collaborations with immunologists, structural biologists, and clinicians. Essential Qualifications and Skills We are seeking a creative