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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad
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research programmes, for example knowledge of cancer biology, hypoxia-mediated biology, redox, and the tumour micro-environment. You will have experience of cell viability assays, western blotting, qRT-PCR
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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that are key to growth and progression of ovarian carcinoma and that may be therapeutic targets. The postholder will carry out research programmes investigating the role of specific mutations of driving innate
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This is a fixed-term appointment for 24 months. Join a pioneering team shaping the future of advanced Battery Management Systems (BMS) for electric vehicles and energy storage. We are seeking a highly motivated and technically proficient researcher in Control and Embedded Systems Engineering to...
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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resources. Your work will support high-impact programmes such as research into chronic diseases within the EXCEED Cohort Study, as well as investigations into the genetic basis of respiratory disease
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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(Fixed term) Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and...
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental