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(Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering
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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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Introduction Magnetic fields shield planetary surfaces, a precondition for supporting life. Yet, the dynamo process which produces them remains one of the greatest mysteries of modern physics. Mounting evidence of the existence of an intense polar vortex in the Earth's liquid core (within the...
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Next-generation Biodegradable Microneedle Electrodes for Continuous Heart Monitoring DoS: Dr Alexander Besinis (alexander.besinis@plymouth.ac.uk) 2nd Supervisor: Dr Om Prakash Singh (omprakash.singh@plymouth.ac.uk) 3rd Supervisor: Prof Mona Nasser (mona.nasser@plymouth.ac.uk) Applications are...
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district-wide universal offer for children and young people’s physical activity in Bradford. The studentship is embedded within Join Us Move Play, Bradford’s Local Delivery Pilot (LDP) programme , funded by
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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
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programme. Nationality restrictions Other eligibility criteria The proposed research project must be within the remit of EPSRC's research themes. Please see EPSRC website for information. Application
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide