29 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD research jobs in United Kingdom
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of Medicine (DIDE-SPH), School of Public Health, at Imperial College London. We are seeking a laboratory-focused Research Assistant/Associate in Viral Genomics and Immunology to develop, optimise and implement
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/ Faculty of Medicine (DIDE-SPH), School of Public Health, at Imperial College London. We are seeking a laboratory-focused Research Assistant/Associate in Viral Genomics and Immunology to develop, optimise
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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channel. This will be followed by designing a new resilient waveform for UOWC and developing a computer-based simulation to evaluate its performance. Finally, the study will use existing UOWC channel
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can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ Queen's University is committed to promoting equality of opportunity to all. We
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options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and
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). This is a fixed‑term position, until 14/02/2027, with an expected start date as soon as possible. The post is based in the Department of Aeronautics at Imperial College London, and no additional background
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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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immediately, or as soon as possible. The successful candidate will be supervised in the Department of Aeronautics at Imperial College London. If you require any further details please contact Dr. Sebastian
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful