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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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the many seminars by internal and external speakers as well as journal clubs and group activities. Collaboration with other PhD candidates, postdoctoral researchers and other faculty member will be
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have an interest in detecting and optimizing spray deposition on plants and reduce environmental risk of plant protection products by reducing exposure of soil-water and bystanders? Are you interested
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of three interlinked sub-projects: 1. Time-Series Feature Extraction 2. Deep Learning for Price Forecasting 3. Execution Timing and Portfolio Optimization You will: ● Conduct independent research under
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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, underwriting, and portfolio optimization. Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics into customer portfolio decision-making
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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environment of the aQa (applied quantum algorithms) group, which is a team of faculty, postdoctoral researchers, and students across the Leiden Institute of Physics (LION), the Leiden Institute for Advanced
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exchange and innovation Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare resources. Your day-to-day research will take place in
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Your job Do you also feel that assessment systems can be more optimally used to support and empower student learning? Do you like to innovate education, work with teachers and make a difference for