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field of expertise will take 10%-20% of your time. Where to apply Website https://www.academictransfer.com/en/jobs/362529/phd-position-on-viscosity-sensi… Requirements Specific Requirements You are highly
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PhD Studentship: Understanding how redox regulation processes facilitate platelet function Platelets are tiny circulating blood cells which prevent bleeding from damaged blood vessels (haemostasis
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The integrated devices & systems (IDS) and Engineering Dynamics (ED) groups at the University of Twente have a vacancy for a PhD student on the research topic “sensing viscosity in liquids”. Flow sensors for measuring the speed of liquids find application in many industrial setups where the...
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Addressing Macular Diseases using Ultrathin Digital Optics Location: Faculty of Engineering and Faculty of Science (Psychology), University of Nottingham, UK Start Date: October 2026 This PhD
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The project The bacterial Type 6 secretion system (T6SS) is one of the largest dynamic assemblies in Gram-negative bacteria. It shares evolutionary origins with contractile phage tails and other extracellular contractile protein translocation nanomachines. Importantly, the unique mode of action...
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-tumour and pro-tumour immune states. Using established protocols for the isolation, culture and functional analysis of human immune cells, the student will develop patient-derived GBM immune co-culture
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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. If you are not sure if you qualify, please contact [email protected] . How to apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic