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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...
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Salary: £35,608 - £43,482 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category
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experience and the wider academic mission of Lady Margaret Hall. The College offers a range of benefits including a generous annual leave allowance, membership of the College’s employee assistance programme
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Birmingham City University is looking to appoint a high calibre graduate as an AEC Solution Architect (AI/LLM Developer) KTP Associate in the BCU’s Department of Computer Science within the School
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Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
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Wellbeing advice and support through our Employee Assistance Programme In-house training and development support A friendly, inclusive and supportive culture and work environment Please note that if not
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essential. An induction programme will be delivered to all new academic staff on Heriot-Watt's standards and values, and to give practical experience on preparation, delivery and assessment of teaching. Key
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Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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A Research Associate post is available at Lancaster to work on the upgrade of the ATLAS experiment at the CERN Large Hadron Collider. The post will focus on computing and software upgrade program of
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Fellow to join an exciting interdisciplinary research programme. This is a unique opportunity to investigate mechanisms of cancer dormancy and develop predictive models of late recurrence in oestrogen