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. The sectoral project KINETICS will explore methods to couple long-term integrated assessment models (IAMs) and spatially and temporally granular energy system models (ESMs) bidirectionally, allowing us to
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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MRI/fMRI, DTI, and MRS studies in Alzheimer’s disease rodent models, including longitudinal imaging and functional connectivity analysis. The work will integrate imaging, behavioral, metabolic, and
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the field of the airway. Management, analysis and interpretation of clinical and research data, including the application of bioinformatics and statistical analysis techniques. Coordination and monitoring
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to Sustainability. Sharing science, shaping tomorrow . Utrecht University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation
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. The project will consider different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement
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different timescales and sizes. You will be involved in establishing and maintaining organoid and whole organ cultures, imaging whole organs, and supporting the quantitative analysis of branching behaviour
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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atmospheric chemistry transport models to simulate the spatial distribution of ultrafine particles and use geostatistical interpolation tools to produce very high resolution concentration data. You will work