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different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement learning, as
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targeted integration of large DNA cargos Drive process mapping, modelling, and techno-economic assessments to support cost-effective and scalable manufacturing strategies Contribute to the development
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of -developing and applying novel study designs for investigating interpersonal emotion (regulation) patterns -proposing and evaluating data modeling approaches to analyse dyadic time-series data-analysing
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aspect of the project: Position A: Stellar Winds, Mass Loss, and Radiative Transfer Modelling This position focuses on understanding how stars lose mass and how their winds are accelerated in the late
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complex (multicomponent) matrices (foods, digestive products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and
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on-chip solid-state lasers Modelling and design of PIC narrow linewidth CW lasers for trapped ion/cold atom/color center quantum control Modelling and design of PIC femtosecond lasers for frequency
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/ dry-etch optimization / thin-film development) Testing and characterizing on-chip solid-state lasers Modelling and design of PIC narrow linewidth CW lasers for trapped ion/cold atom/color center quantum
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products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and steer these interactions; combine our expertise
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. The aim of the current project is to further identify when, for whom, and under which conditions the intervention is most effective, using both quantitative findings (including Latent Change Modelling) and
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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