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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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creates new knowledge by synthesising these two approaches through advanced statistics. This exciting PhD project is one of two PhD projects within PAST. As a PhD candidate, your goal is to develop
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the Department of Human Geography and Spatial Planning (max. 10% of the appointment). Where to apply Website https://www.academictransfer.com/en/jobs/358070/phd-the-urban-ocean-nexus-towar… Requirements Specific
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various data sources, including nationwide registries from Statistics Netherlands and large-scale longitudinal cohort studies, to investigate CHD, MI- and ischemia-related outcomes, intermediates, and risk
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Statistics Netherlands and large-scale longitudinal cohort studies, to investigate IS and ischemia-related outcomes, intermediates, and risk factors. You will enrich these data sources with relevant
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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https://www.academictransfer.com/en/jobs/357205/2x-phd-positions-in-the-mathema… Requirements Specific Requirements You have, or will shortly, acquire a Master's degree in either Mathematics
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programme (dr. Emma Beauxis Aussalet & Prof. dr. Mark Hoogendoorn). Where to apply Website https://www.academictransfer.com/en/jobs/357049/phd-position-in-sentiment-analy… Requirements Specific Requirements
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postdoctoral researcher, who focuses on the data-driven development of micromagnetic modelling tools, as well as with a PhD candidate focusing on the paleomagnetic information stored in (statistical) ensembles
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developed models will be applied to estimate design flood events for different return periods and flood types. With metrics based on flood statistical aspects, the type-specific models will be compared