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, SPSS) Experience and knowledge of fMRI analysis methods and use of neuroimaging analysis packages (e.g., SPM, FSL) Excellent written, verbal, interpersonal communication and team-working skills Desirable
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analysis activities for cooperation projects and clinical analysis. Engaging on the optimization of lipidomics/oxylipin (phospho) proteome analysis methods. You hold courses independently within the scope
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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patients with hearing disorders. You will focus on creating automated segmentation methods for temporal bone structures, designing predictive models for treatment outcomes, and developing diagnostic tools
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of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
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-on experience in ceramic/polymeric membrane processing, familiarity with membrane characterization methods, and strong data analysis and communication abilities. Experience with scaling up membrane technologies
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will not have held a permanent academic post or a permanent post with a research-related element, or one which allowed them to supervise PhD students or submit research grants as a principal investigator
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is fixed term for up to 36 months with a start date on or before 1st October 2025. This post will involve developing analysis and control methods for systems described by PDEs, with applications in
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical