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International travel may be required for this role. Background This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop
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. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses
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) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process
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are seeking a highly motivated and skilled Postdoctoral Research Fellow to join our multidisciplinary research team on the project "Crop Growth Monitoring and Yield Forecasting". This project aims
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven