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Description PhD Position in Mesoscale and Macro-homogeneous-scale Modelling of Electrodes 100% ZHAW - Zurich University of Applied Sciences Winterthur, Switzerland This doctoral thesis is part of the European
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modification of primary human immune cells (T cells and macrophages). Conduct in vitro validations using advanced models, including patient-derived organoids and co-culture systems. Perform in vivo validations
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation
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evaluation will combine policy analysis with interviews across government, utilities, and civil society. Modelling and scenario planning will project future supply conditions and assess nature-based and multi
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options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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and model inaccuracy. This role is dedicated to solving this problem, building an embedded plume-in-grid contrail model for use in an operational weather model - supporting technological solutions
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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi