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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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particulate materials Design and help instrument sensors based on these models to measure particle properties, such as the particle size distribution. Balancing experimental needs, such as bandwidth
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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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. Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling Role You will be a
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. The role-holder will draft press releases, web pages, and responses to press enquiries in collaboration with the ARC team. They will also write and distribute newsletters and blog posts to update
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March 2027) Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https
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Trainee IT Technician (Apprentice) ( Job Number: 25000703) Computing and Information Services Grade 2: - £23,478 - £23,751 per annum. Fixed Term - Full Time Contract Duration: 36 Months Contracted