29 digital-biosignal-processing Postdoctoral positions at University of London in United Kingdom
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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, which include a short book on creative and curatorial methods, a digital festival and a digital archive. Assisting the Project Leader with management and administrative tasks, including creating website
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory
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and taught postgraduate students and over 250 PhD students within our London operation, supported by an administrative and technical staff of around 50. About Queen Mary At Queen Mary University
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appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work
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group runs preclinical and clinical programmes of work focused on pain mechanisms and therapeutic approaches to treat pain. The Sensory Neurophysiology team have expertise in animal and human pain studies
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commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We
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well as qualitative approaches including semi-structured interviews with women, families, and clinicians. These interviews will inform the design process and deepen understanding of the everyday contexts and