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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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provide information of what criteria will be assessed at each stage of the recruitment process. *Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role This scheme offers up to 6
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. Preliminary data from the lab have shown that germ-free mice have an impaired olfactory function when compared to conventionally reared specific-pathogen free mice, particularly with regard to pheromone sensing
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hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant biological discipline. Good communication and documentation skills, and the ability to work effectively as part of a team are essential
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of your PI, to carry out experiments, trouble-shoot, generate and analyse data, to deliver on this BBSRC funded research project aims. Focus on, adapt, learn new methods and develop research objectives and
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities