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approaches. Collaborative spirit – You enjoy working in a team and building connections with academic, industry, and public-sector partners. Strong communicator – You can present complex ideas clearly, both in
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with a passion for sustainability in healthcare. You can work independently and collaboratively, communicate effectively across disciplines, and manage complex projects from concept to implementation
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model species (e.g. Culex pipiens) to test specific hypotheses about sensory-driven flight behaviour under controlled light and visual environments. This will allow you to explore the underlying
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facilities hosted at UU’s Electron Microscopy Centre. Project description Recent advances in thermodynamic phase equilibrium modelling facilitate the prediction of metal budgets of crustal magmatic systems
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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with a passion for sustainability in healthcare. You can work independently and collaboratively, communicate effectively across disciplines, and manage complex projects from concept to implementation
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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
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, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner workings