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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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variety of related subject including: Machine learning and deep learning techniques, preferably with a focus on generative models (e.g. GANs, VAEs, LLMs, VLMs,). Robust data analysis methods and tools
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, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural
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basis including at the annual appraisal. As duties and responsibilities change, the job description may be amended in consultation with the post-holder. Qualifications PhD degree in Biomedical sciences
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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, hybrid digital/analogue quantum computation, and quantum machine learning The post holder will join Prof Andrew Green’s research group which studies fundamental aspects of many body quantum dynamics and
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health data, such as electronic health records or biobank-scale resources (e.g., UK Biobank, All-of-Us, FinnGen). Familiarity with machine learning approaches, such as penalised regression, deep learning
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) Programming (e.g., real-time audio, games engine, machine learning toolboxes, git) Acoustics (e.g., sound properties, room modes, reverberation, HRTFs) Participatory research (e.g., formal listening tests
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning