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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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dynamics simulations. The project will entail programming (scripting, Python etc.), handling big data and carrying out all-atom and coarse-grained molecular dynamics simulations on high-performance super
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position is part of a large-scale research project around immune response in neurodegenerative disease. The PhD student will be part of a data science team working on data analysis and experimental design as
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This position is part of the project VIRAL BRAIN (Viral Big-data Research on Acute Infectious Neuropsychiatric Complications). You will use extensive Swedish national registry data to examine the risk and
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques