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Field
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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sources, such as wind and solar. As a consequence of this shift, the amounts of energy that are traded at the short-term markets throughout a day are uncertain, as they depend on hardly predictable weather
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design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during
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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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, 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
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years, 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
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Are you fascinated by how the brain predicts and adapts to the world
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can be more predictable. A series of projects dedicated to inspection techniques, is being executed in the Smart Water Grids research theme. In the past, this has already led to multiple spinoff
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the complex interplay between failing heart muscle and diseased valves; Create personalized simulations that predict which patients will benefit from valve interventions versus medical therapy; Validate your
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to predict molecular subtypes in bladder cancer. Ultimately, the project seeks to identify novel therapeutic targets and validate these using bladder cancer organoids. You will be the first to create