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Job related to staff position within a Research Infrastructure? No Offer Description Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and
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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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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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, 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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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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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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, 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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microstructural mechanisms. If the roll force is not precisely controlled, it can negatively impact the final properties of the steel sheet, undermining previous optimization efforts and increasing scrap rates
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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