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are also open to discussing flexible working arrangements. Are you an ambitious and talented statistician with expertise in individual participant data meta-analysis (IPDMA) of clinical trials and
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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Mamatha Nagaraj, Prof Helen Gleeson, Prof Gordon Love, and Dr Richard Mandle and at the University of Leeds. You will have an experimental PhD degree (or have submitted your thesis before taking up the role
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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is one of the top 80 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities
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want to further your career in one of the UKs leading research intensive Universities? You will work as part of a team on the EU project Novosoil. Novosoil is a Horizon Europe project that highlights
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decarbonisation is essential if the UK is to meet statutory greenhouse gas (CO2e) emissions targets. Historically, CO2e emissions reduction measures have not systemically considered physical and mental health
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looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa, and we are seeking a machine
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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sub-seasonal weather forecasts for African agriculture. The Cumulus project is a consortium of UK and African partners funded by the Gates Foundation, which aims to make a breakthrough in the