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Field
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of machine learning models. · Experience with statistical analysis, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing
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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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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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various cloud services within commercial cloud environment (AWS and Azure) to identify root cause of the issues / incidents. Secure and maintain up-to-date baseline HCC computing services such as vm image
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cloud computing platforms, particularly Google Cloud Platform technologies such as BigQuery and Cloud Storage. Familiarity with AI/ML (Artificial Intelligence/Machine Learning), natural
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centralised, cloud-based deployment of Foundation Models (FMs) towards a Resource-driven Computing Continuum (RCC): a layered architecture that seamlessly spans Cloud, Edge and IoT tiers, deploying intelligence
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strong plus. • Excellent software architecture design capabilities and experience with cloud/edge computing deployment. • Strong written and spoken communication skills. • Open to fixed-term
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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Strategy and Analysis Staff (PHSA). PHSA provides policy making, program direction, coordination, liaison, and expert advice to agency leadership and programs in support of FDA's science-based regulatory
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, and Imperial College London. Funded through an EPSRC Programme Grant, SONNETS develops computer modeling and artificial intelligence methods for national-level financial risk analysis, including work