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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and
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diffraction and computed tomography experiments, including Rietveld refinement. A track record of high-quality research outputs and a demonstrable commitment to research excellence. Experience in
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality, applied
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and cancer immunotherapy. Develop your expertise and research profile working with a high performing team on cutting edge research in state-of-the-art facilities. In this role, you will be expected
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analytical methods for PFAS quantitative analysis using gas and liquid chromatography-mass spectrometry instruments, conduct research on screening and non-targeted identification of PFAS with high resolution
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systems. Develop, apply and refine advanced models for optical and laser system performance. Collect and analyze experimental data, draw conclusions and publish findings in high-quality peer-reviewed
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) Country Hong Kong Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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. Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career. The University of Exeter We are a member of the prestigious Russell Group