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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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to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop
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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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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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the model plant, Arabidopsis thaliana. The PhD candidate will employ molecular biology tools to follow circadian gene expression in Bacillus subtilis as it colonizes the plant root. This work will be carried
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assessment tools for OSH professionals. In this project, we aim to develop a 'Biological Exposome' risk model for the workplace using a layered approach, moving from qualitative to quantitative risk assessment
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early
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this NWO summit EMBRACER project at the forefront of polar research. You will explore Arctic sea ice decline and ocean warming using satellite data and coupled modelling tools. Collaborate with
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy