241 postdoc-in-postdoc-in-automation-and-control-"Multiple" Fellowship positions in United Kingdom
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- bermet.ishenbekova@ucentralasia.org
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Field
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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evaluation of real-world simulations testing the use of drones to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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of thermographic image processing tools and techniques (all applicable to composites) to improve defect detection, support the automation of the active thermography inspection (integration of robotic
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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, consisting of a helium-filled aerodynamic kite tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial
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to composites) to improve defect detection, support the automation of the active thermography inspection (integration of robotic arm with active thermography approach selected), and support demonstrations
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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driver for equitable, sustainable food systems in communities facing multiple forms of deprivation. Co-lead on work package 1: the planning, delivery and synthesis of participatory creative research
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groundbreaking primary dataset comprising multiple linked surveys as part of the Observatory’s longitudinal cohort studies, and through the analysis of administrative datasets (e.g. the National Pupil Database