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using onboard IMU signals Run a pilot home-testing study on continuous gait monitoring, assessing feasibility for future large-scale use You will translate this into a research plan aimed at peer-reviewed
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subjective assessment. Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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variety of new and improved phenotypes, relating to (for example) suspension culture, signalling pathway activation and cellular lifespan. Once new cell lines have been engineered, you will characterise
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, this position gives you the opportunity to participate in international research networks. Together, these elements will enable you to develop your own research ideas within the AMPLIFY framework and contribute