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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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, specialization Business Administration, Innovation and Governance (BIG). The successful candidate is expected to complete the doctoral degree during the period of employment. About CAMELOT Many of today's most
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and working with large-scale datasets is an advantage; interest in combining multiple data sources (e.g. administrative data, patents, publications, surveys, or online data); a strong interest in
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structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from
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-disciplinary. Faculty members have backgrounds in management, economics, sociology and economic geography. The theoretical foundation for research in these areas is eclectic, combining strategy, innovation, and
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3.5-year D.Phil. studentship Project: Synthetic Biology for fundamental science and application scale-up. Supervisors: Prof Harrison Steel and Prof Antonis Papachristodoulou This project will focus
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quantitative properties of an object or medium from measurements of waves that have propagated through it. Mathematically, such problems lead to large-scale nonlinear inverse problems governed by partial
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(CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well. We
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-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure is in place for the numerical work in this project. PhD projects The PhD projects listed below are embedded
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skills, mostly qualitative, but quantitative is a plus. Ability to work both independently and as part of an (international) team; Excellent command of English and Arabic. Ideally French, Dutch