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models. Expected Results: Ability to assess the influence of demise process on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion
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modelling to understand how changes in sea ice thickness, mobility, and open-water formation influence atmosphere-ice sheet interactions. Your work will include: analysing data from airborne campaigns by
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approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics of pili and their interactions
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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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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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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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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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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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collaborators to ensure that model development aligns with data quality, measurement conditions, and evolving research priorities. The SDL operates as a closed-loop system in which each experiment informs