94 parallel-and-distributed-computing-"Multiple" positions at University of Newcastle in United Kingdom
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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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and computational abilities • Demonstrate excellent programming ability in languages such as MATLAB or Python • Excellent communication skills across multiple disciplines • Excellent academic
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support in areas such as distributed systems, programming, artificial intelligence, or related computing disciplines. Attributes and Behaviour Strong communication and interpersonal skills, capable
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outcomes and delivering GBC’s business engagement programme. Working closely with Professor Elizabeth Gibson and the wider team, you’ll manage communications and engagement across multiple channels, support
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of shaping strategic direction as a result of leading and working with teams across multiple departments or organisations • Significant experience of programme and/or project management and demonstrable
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within the framework of the agreed research programme to allow for deadlines for project outputs to be met • Liaise on a regular basis with external partners including archives and educational
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interventions in type 1 diabetes complicated by impaired awareness of hypoglycaemia – including the My Hypo Compass programme developed within Newcastle University. You will play a critical role as a named
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(Assessment) our assessment team supports our MBBS programme on our Newcastle and NUMed Malaysia campuses, and our Physician Associate programme at Newcastle. As part of our assessment team you will
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, with the ability to work effectively in a multidisciplinary team Ability to manage multiple tasks and projects in a flexible and dynamic research environment Qualifications An MSc in computer
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach