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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 2 months ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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that handle large network sizes and additional information – such as fine-grained temporal information for email traffic or additional neighbourhood structures – are essential. A key challenge in modelling
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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large upfront costs, but with ongoing cost savings once investments have been made. The liability to make these investments is tied to ownership of expensive assets (residential property). Other issues