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IMPORTANT NOTE: This is a readvertisement (vacancy number: 179723). Previous applicants need not apply. Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you
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This is a re-advertisement of vacancy 179305. Previous applicants need not apply About the role We are seeking a full-time Senior Developer in Computer Vision to join the Control Group
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particular emphasis on kinetic Monte Carlo approaches, and in software development, including version control (Git or similar). Experience in ab initio methods and specifically calculations of excited
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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complement the expertise that currently exists in the department. This may involve data analysis at any level, the exploitation and development of novel statistical methods, or the theoretical modelling
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fundamental threat to health and prosperity. We are recruiting a postdoctoral researcher to study the evolutionary processes that drive the rise and fall of antibiotic resistance using genomic methods
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understanding under challenging conditions. The work spans core methods, research and system-level deployment, with application domains including logistics, agriculture, social care, and inspection. About You You
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high-dimensional genomic and clinical data, conducting genome-to-genome and genome-wide association studies, and developing new statistical methods to uncover host–pathogen interactions. They will also
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may also supervise PhD students and support junior colleagues. This post is full time and fixed term until 31/03/2028. Part-time working will be considered (minimum 0.8 FTE, 30 hours per week minimum
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible