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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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to understand cancer outcomes, the planned work will address the need to evaluate data from multiple patient groups that are under-represented in clinical trials, including those from Black, Asian and Minority
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. How to Apply Please submit an application via the Queen Mary Portal and upload a copy
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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colleagues undertake activities that are aligned to both our values and commitment to EDI. We welcome and encourage applications from those who are currently under-represented in our work force, including
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Excellent written and spoken English. Finnish or Swedish not required but considered an advantage. Strong interpersonal and communication skills, proactive mindset, and ability to manage multiple tasks
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activities that are aligned to both our values and commitment to EDI. We welcome and encourage applications from those who are currently under-represented in our work force, including people with disabilities
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, work and live in a community which is supportive and inclusive. It’s important to us that all colleagues undertake activities that are aligned to both our values and commitment to EDI. We welcome and
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graduate students and junior researchers, contribute to ongoing projects, and have the freedom to pursue independent research directions that align with our broader aims of the group. You will also help