20 phd-position-wireless-sensor-networks Postdoctoral research jobs at University of Liverpool in Uk
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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of carbon, major- and micro-nutrients and phyto- and zoo-plankton in the global ocean. At Liverpool, we use this model to assess the role of key mechanisms and how they shape the response of net primary
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network of Place Leads in the other areas of geographical focus, to ensure that the JUST priorities are delivered in a complementary way across the centre. This post is fixed term from 1 January 2026 until
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-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied