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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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develop photoluminescence and spin control capabilities, under cryogenic conditions, to probe the defects’ electronic structure and spin properties. This effort will be combined with ongoing work in the
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supported-lipid bilayers and performing Total Internal Reflection Fluorescence (TIRF) microscopy, together with advanced skills in quantitative image analysis. You will have experience isolating T lymphocytes
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
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the incidence of the associated premature deaths, by advancing the progress on implantable bioelectronics for personalised therapy though implantable long-lasting, lightweight and miniature power
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transform the material system to a platform for quantum technology: a coherent 2D spin-photon interface for networks and sensing. To achieve this goal, this project will advance the pulsed spin control