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Employment 1.0 FTE Gross monthly salary € 3,059 - € 3,881 Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 24 August 2025 Apply now
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. Where you will be working This position is available at the Institute for Computing and Information Sciences (iCIS) at Radboud University as part of the NOLAI project. NOLAI , the National Education Lab
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The scholarship for the PhD degree is subject to
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of the technically relevant quantities, such as aerodynamic forces or power output, exploratory data analyses to bridge the gap between our observations and understanding of the development and interaction of vortices
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been collected in Malawi under a joint agreement with the Government of Malawi, with field phenotype data, genomic sequencing data obtained in the UK, and micro-CT scanning data being also collected
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slice models with Dr Chan’s research on mTOR signalling and metabolic drivers of epilepsy in mTOR related disorders. For information about the UoB Centre for Neurogenetrics, see: https
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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health, and intelligent operations. It is particularly suited to candidates with academic backgrounds in Industrial Engineering, Aerospace Engineering, Management Science, Operations Research, Transport
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art