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understand the interaction between market design choices and the total cost of the energy system, and to quantify the value of flexible demand, including the rapidly growing load from data centres, to system
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interactions and using that information to enhance biodiversity conservation and sustainability efforts. We are a growing international and interdisciplinary research group and draw from a range of approaches
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research team aims to contribute toward finding solutions for sustainable futures that can benefit people and nature. We focus on developing new insights on human-nature interactions and using
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Methods for Virtual Labs: Constructing interactive "virtual laboratories" where medical professionals can interact with, audit, and align LLM-powered medical agents with clinical guidelines
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highly-motivated postdoctoral researcher to join our team. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to
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. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways
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activities in one of the following pillars: Pretraining Foundation Health Model: Leading the design and scaling of pretraining pipelines on nationwide health databases and structured longitudinal electronic
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for practical applications. This project aims to develop a new OAM platform using well-designed 2D material nanocomposites based on MXenes combined with functional organic molecules, and to demonstrate prototype
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record Great quality interaction and communication skills. Additional merits .Experience with one or more of the following is considered as an advantage: single-cell omics, bioinformatics, bioimaging, flow