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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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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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Foundation Health Model. As a PhD candidate, you will conduct deep-dive research into training pipelines and reasoning techniques for clinical foundation models. You will join an elite, interdisciplinary team
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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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campus. Who we are looking for Requirements Applicants must have: A PhD in Immunology, Cell Biology, Biochemistry, Biology, Medicine, Biomedical Sciences, or another relevant life science field Significant