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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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vary depending on business needs. Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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. Whether it’s a part time, compressed hours or another working arrangement. Please reach out to us to discuss what works best for you. About the Role We are seeking to appoint a highly motivated Research
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and experience leading research are essential. Candidates must have expertise in aerospace aerodynamics, compressible flow, and engineering programming. Experience in CFD, optimisation, HPC, and
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pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred hours should be stated in the personal statement and will be
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for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive sensing, Quantum error-correcting codes, Quantum computing, and/or Post
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quantum technology, and it may also be associated with the new Center for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive
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applications from individuals who would prefer a flexible working pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred