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Field
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We are looking for 4 highly motivated PhD students to join our research team for a project focused on battery modelling, state estimation, fault diagnosis and control. Information Batteries
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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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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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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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/2412.00173 https://www.nature.com/articles/s42256-022-00595-0 https://www.nature.com/articles/s41467-025-61949-x https://github.com/DeepTrackAI Application: You can review the terms and conditions of
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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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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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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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investigate how they change under different conditions. The analyses are always carried out in conjunction with social-psychological findings on the perception of crowds, thus contributing to an integrated
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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