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accepted all year round Details DUNE is a large international project to design, construct and operate a multi-kilotonne scale liquid argon detector for neutrino physics, neutrino astrophysics and a search
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introduce you to the unique & rewarding world of student health. We are based in a large modern building near Sheffield Student Union. We are part of the university and therefore benefit from TUoS terms and
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Ability to develop and sustain successful collaborations Essential Interview Ability to work effectively with colleagues and collaborators in a large and diverse research team Essential Application Ability
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system will expect to require 25-45GW of within-day energy flexibility, a large proportion of which will need to be delivered by battery EVs. This flexibility can take the form of dynamically changing
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via traditional analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage
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models. This evolution affects all devices, ranging from large-scale data centres to mobile phones. However, these advanced architectures break assumptions that programmers have relied on, causing new
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. We take a macroecological approach to addressing this challenge, mining large databases of marine biodiversity data to understand the ecological, evolutionary, and environmental factors that drive
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consistently ranked in the top 5 in the UK’s Research Excellence Framework (REF). The position offers the successful candidate a chance to benefit from a large, vibrant and supportive Early Career Researcher
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into the microgrid. The system needs to be optimised to deliver the lowest cost / kWh of delivered energy to the load, preferably comparable to that of a grid connection. The project runs alongside a large UKRI funded
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Rethinking scholarly and editorial practices for born-digital data Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all