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Field
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purposes. We are looking for a confident, organised researcher who can evidence: · A PhD, or equivalent in statistics, machine learning, data sciences, or closely related discipline. OR near to completion
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of solid-state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber electrode arrays in neural recording and stimulation applications. Specific
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managing social media datasets and metadata from the 2020 and 2024 US Presidential elections and the 2024 UK General Election. Designing, implementing and evaluating NLP and machine-learning approaches
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. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
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) will be required for this position Certificates/Credentials/Licenses PhD required in related field. Computer Skills Academic and research software relevant to job duties (GSAS II, OriginLab, https
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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: offshore wind turbines, wave tank experiments, fluid-structure interactions, sensors for offshore structural health monitoring, software development, machine learning and advanced AI modelling, and previous
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Understanding of & ability to contribute to broader management/administration processes Experience developing & applying machine learning models to computer vision tasks Practical experience in computing