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the research platform. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Artificial Intelligence, Data / Computer Science, Engineering, Signal Processing, or a related
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academically and professionally through organised research training. It is a condition that the person who accepts the position applies for and is granted admission to the Faculty’s PhD-program in Technology
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, administrative, and operational duties as assigned by the Centre's Pillar Leads and Directors. Job Requirements: PhD in Communication Studies, Psychology, Education, Social Sciences, or a related discipline
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to EUV generation, obtained ab initio from Maxwell’s equations and quantum electrodynamics/quantum field theory Job Requirements: PhD degree in physics, mathematics, engineering or related field Strong
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Adaptation of Existing Buildings. This is an exciting opportunity to contribute to research at the interface of computational geotechnics, data-centric methods, sustainable infrastructure, low-carbon energy
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students involved in the project. About you We are looking for someone with: A PhD, or a PhD nearing completion at the time of appointment, or equivalent research experience, in cognitive neuroscience
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to the PhD programme at the Faculty of Mathematics and Natural Sciences. Appointment to a research fellowship is conditional upon admission to the Faculty’s research training programme. A plan for the research
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apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in computer science or a closely related discipline. Applications from exceptional candidates who are close to
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organisational settings. Applicants should have a MSc degree or PhD in psychology, neuroscience, cognitive neuroscience, or a closely related discipline. Previous experience collecting and analysing EEG data is
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applicants are normally expected to be within 5 years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early