413 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" PhD positions in United Kingdom
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, agent-based modelling, and the use of online experiments is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process
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in Experimental Particle Physics (https://www.hep.manchester.ac.uk/study/ ). Our group (https://www.hep.manchester.ac.uk/ ) is one of the largest research groups in the UK with over 100 members
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not essential How to apply: Interested candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https
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‑methods and participatory design approaches, including qualitative co‑design workshops, prototype development and usability testing, feasibility and acceptability evaluation, and a final randomised
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communication skills, and a keen interest in conducting impactful research. For details on how to apply, please see here: https://www.centre-ub.org/studentships/application-process/ Interviews for this studentship
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). Students will be actively encouraged to engage with and learn from the collaborating institutes in the programme, including Oxford, City St George’s, and London School of Hygiene and Tropical Medicine. Each
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closely with water utilities. The outcomes will support the development of robust decision-support tools to safeguard drinking water quality and safety under a changing climate. The research programme to be
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technologies (such as electric vehicles and heat pumps) in Low Voltage (LV) networks. PEDs include Soft Open Points, Static Compensators (STATCOMs), and Smart Transformers (STs), which have been trialled and
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Join us for this exciting self-funded PhD studentship on " Development of Sustainable and Cost-Effective Coatings to Mitigate Battery Thermal Runaway Propagation" in collaboration with
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al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN