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high-frequency data and building robust, data-driven models that impact decision-making in real-time markets? We invite applications for a Joint-PhD position at the University of Amsterdam, in
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candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team, applying advanced modeling
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population projections and management of wild bird populations in times of climate change”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah
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, preferably experience with genetic engineering of model bacteria, like Bacillus subtilis fluorescence microscopy interest in chronobiology (circadian biology) ability to work in a highly collaborative
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science, chemical engineering, material science, or a related program; a strong commitment to developing predictive models that link ingredient functionality to product performance and sustainability
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will undertake several research activities. These include the development and implementation of algorithms for self-supervised denoising and artifact removal in EM images, which may involve modeling
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, underwriting, and portfolio optimization. Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics into customer portfolio decision-making
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
, you will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we
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Apply now In this MICROP project, we aim to develop predictive AI models to decode plant–microbiota host specificity, with the ultimate goal of forecasting the success of microbial introductions—ranging