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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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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
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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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predictive optimization, behavioral modeling and machine learning. There is vivid interaction within the group to foster collaboration both with scientific and social activities. The PhD candidate will also
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
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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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning
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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By