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federated learning infrastructure and develop multimodal machine learning methods to predict connections between mass spectra, biosynthetic gene clusters, molecular structures, and biological activities, in
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the potential to radically change and improve the performance of breast cancer screening, allowing for an increase in the early detection of cancer, while reducing the rate of false alarms. As a result, we
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federated learning infrastructure and develop multimodal machine learning methods to predict connections between mass spectra, biosynthetic gene clusters, molecular structures, and biological activities, in
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production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental systems to match supply with fluctuating
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in the early detection of cancer, while reducing the rate of false alarms. As a result, we envision that large regional and national screening programs, like the Dutch National Breast Cancer Screening
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. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within
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best coding practices. Additional Information Benefits You will be appointed for a period of maximum one year full-time within a very stimulating scientific environment. The university offers a dynamic
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environment. The university offers a dynamic ecosystem with enthusiastic colleagues. With positive evaluation after one year, the contract can be extended. Your salary and associated conditions are in
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adaptive, personalized interventions that dynamically respond to an individual’s behavior and environment. You will conduct independent research focused on developing and optimizing such adaptive and
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three years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues. Your salary and associated conditions are in accordance with