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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop
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to: Identify and evaluate carbon metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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packages for data processing (e.g. Bioconductor, scikit-bio, PyPI genomics packages). HPC and/or cloud computing experience (AWS, Azure, GCP) plus practical application of AI/ML or similar computational
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Applications are invited for a Postdoctoral Researcher in High-resolution Modelling of Aerosol-cloud interactions to assess Marine Cloud Brightening. This position is part of the are provided by
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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will use your expertise in Digital Twins, cloud computing, and technical training to support research translation and impact generation. You will also mentor postgraduate students involved in training
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operationalise of remote sensing processing chains and their deployment in cloud using the latest approaches to the containisation and orchestration Grade 8 Lead the development of new and innovative optical