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in routine clinical practice. A data science approach might improve the evidence base for renal function testing for both targeting those at highest risk and optimizing follow-up. Furthermore, although
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equipment and in the effective preparation of thin sections being available during working hours to consult with faculty, staff and students on all matters related to sample preparation, suggesting optimal
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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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aspects of modern portfolio theory, asset selection, allocation, and rebalancing. Both the mathematical and behavioral aspects of portfolio construction are studied. Risk assessment and optimal combination
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is inherently multi-disciplinary, Business Analytics lies at the intersection of Computer Science, Statistics, Machine Learning, Big Data, Applied Mathematics (particularly Optimization), Operations
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the charging schedule (V1G) to consume energy at optimal times. Another form incorporates equipment that allows the vehicle to discharge energy back into the household or the grid (V2X). This project aims
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different professional disciplines to develop a broader understanding of how to improve the performance of the entire supply chain. Specific issues to be discussed include: supply chain design, optimization
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow
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characterize polymer and dendrimer-based nanomaterials for targeted drug, and gene delivery. Develop and optimize linker chemistries and conjugation strategies for attaching therapeutics, targeting ligands, and