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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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public and community mental health. You'll: Apply advanced quantitative and quasi-experimental methods to large datasets (e.g. administrative, environmental, or health data) Contribute to high-quality
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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on developing and applying cutting-edge machine learning, data science, and computational methods to study the large-scale structure of the Universe using cosmological survey data. Postdoctoral researchers at OKC
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on
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life-threatening consequences. Every year our influenza vaccines help protect millions of people. We find solutions to big, complex, challenging problems, and we see the results in the world around us
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
& upskilling opportunities . For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science at ANU community is like, we invite you to
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profiling and artificial intelligence. The successful candidate will lead efforts to generate and analyze genome-wide data that capture how editing enzymes interact with DNA in various chromatin and cellular
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-tuning and/or Retrieval-Augmented Generation (RAG) methods to augment LLMs with dedicated knowledge in transportation and electric grid domains. This involves designing methods to process input data and