161 parallel-and-distributed-computing-phd-"Multiple" positions at University of London
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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, and working to coach and mentor colleagues to deliver effectively in a distributed leadership environment. This role will sit as a senior member on the Education and Student Experience Leadership Team
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-disciplinary environments is highly desirable. You should possess excellent organisational and communication skills, with the ability to manage multiple priorities and work with stakeholders across academic
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: excellent research profile with independent research achievements, including successful PhD supervision, substantial external funding, and a strong, well-cited publication record. About the School/Department
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issues is desirable Skilled in handling a busy workload, prioritising multiple deadlines, time management skills, proactive and proven ability to use initiative Proven ability to have successful
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to global health, gender violence and violence in childhood, and medical humanitarianism. We offer a vibrant and diverse research degree programme, with over 100 PhD and DrPH students from more than 40
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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the ability to work under tight deadlines and to effectively manage multiple projects simultaneously. Superb interpersonal and influencing skills, with the ability to build and maintain effective working
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in