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Field
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degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field, with a genuine interest in Wearable Technology, Sensor Development, Biomedical Devices, and Data
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health measurement kit, under 1-2-1 supervision. These tasks will include the collection of data on photosynthetic activity seedlings within a woodland plantation site, utilizing a chlorophyll meter
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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supercapacitor materials that are commercially available and to use this information to target the synthesis of new materials that may have improved characteristics. This will involve a wide range of world-leading
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the global oceans. We are seeking a PhD student to join an international team seeking to improve our understanding of submesoscale currents in BMC zone. You will help to analyse a pioneering set of ocean data
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quantification and data science. Potential investigation areas: • Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC) with reinforcement learning. • Developing adaptive tuning and continual learning
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government, the MTC works closely with industrial partners and other research organisations to deliver world leading innovation across all levels of the UK’s industrial landscape. For more information, please
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: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: The studentship is for 4 years full-time and provides a tax
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, climate sciences or related subject areas. Applications should be made via the above 'Apply' link. Further information can be obtained by emailing Dr Gregor Leckebusch (g.c.leckebusch@bham.ac.uk ). Funding
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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly