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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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About you- We’re looking for someone who leads with fairness, integrity, and inclusivity, consistently creating an environment where everyone feels valued and heard. You will proactively develop and inspire others, offering clarity behind decisions and encouraging accountability across the team....
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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We would like to appoint an Application Developer to be responsible for the software development of a Greener Trials Toolkit. The Toolkit will be an online, open-access, digital carbon calculator
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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central Lancashire. The studentship is for up to 3.5 years full time (tuition fees and annual stipend at the...
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direction to enhance impact, recruitment, and engagement. This will include supporting the RAPID Eczema Trials programme; a National Institute for Health and Care Research (NIHR) funded applied research
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap