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Field
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to improving our understanding of processes in intact Amazonian forests and their interactions with the atmosphere in the changing Earth system. Building on insights gained from previous and ongoing
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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fundamental questions about the symmetries of nature, the quantum nature of black holes, and the quantum description of cosmological spacetimes. The theory also provides fundamental insights into quantum field
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for reconstructing full 3D temperature fields from partial temperature measurements, utilising monitoring techniques deployable in industrial settings. This work will provide critical thermal insights for diagnosing
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
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interfering with their function and/or formation will provide alternative treatment strategies for patients with AML. We anticipate that our studies will not only provide important fundamental insights but also
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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, and level of data literacy, get insights from structured data, efficiently, accurately and securely. Goal of this PhD project Tabular data analysis is an emerging specialization of AI-powered systems in
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the potential to transform clinical ophthalmology, offering improved diagnostic capabilities and deeper insights into the structural integrity of the retina. At a glance Application deadline03 Dec 2025 Award type