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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. Please contact Mohammad Reza Ilkhani ezzmi1@exmail.nottingham.ac.uk for further information and an
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access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in
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ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on experimental investigations of MILD combustion. The post holder will be located in Central
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering