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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Aerospace Engineering The Faculty of Aerospace Engineering at Delft
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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. It is expected to culminate in the candidate contributing to an external funding bid for a large-scale intervention and evaluation, while generating policy-relevant evidence to inform strategies
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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program embedded in a large-scale, nationally funded research consortium with access to unique multimodal clinical datasets - State-of-the-art GPU infrastructure for training and fine-tuning large
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optimisation and learning-based control algorithms that can make decisions under uncertainty, using realistic network models and large-scale simulations. These methods will be evaluated on representative UK
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for symptoms recorded in the dataset then the symptoms were not present. However, we know that some clinicians are more likely than others to record symptoms in coded form. Using large-scale linked electronic
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(including remote work) are generally possible by agreement and in line with tasks and on-site requirements The position is initially limited to 3 years. Depending on your qualifications and assigned
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perspective. The group is home to several large projects, spanning from migration in medieval Europe, over foraging practices in colonial Central Africa, to the dynamics of wealth inequality in the contemporary
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conferences and publish papers Have good communicational and social skills Remuneration and further information The position is placed in government pay scale position code 1017 PhD Fellow, and is remunerated