122 informatics-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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About the Role The Department of Computer Science, University of Oxford, is seeking a Departmental Lecturer in Computer Science. This will be a fixed-term appointment until 31 August 2030. The post
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analysis of data arising from the programme including host genomic sequencing data, pathogen metagenomics. You will apply computational and statistical methodologies and develop code and informatics
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the successful candidate. About You You will hold a PhD/DPhil in computer science, machine learning, or a closely related field, with a keen interest in theological research on artificial intelligence. You will be
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be close to completing, a first degree or integrated Master’s degree in mathematics, statistics, computer science, engineering, or another relevant quantitative discipline, together with relevant
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opportunity for an early career researcher with a background in bioinformatics, microbiology, genomics, biology, computer science or a related field to contribute to research investigating Neisseria gonorrhoeae
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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20% of their time allocated to broader departmental infrastructure activities. Essential Skills and Experience ● Degree in Computer Science, Engineering, or a related technical discipline
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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and technical ability who wants to contribute to a positive research environment. You should have a PhD or equivalent professional/research experience in engineering, computer science, neuroscience or a
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, fixed-term basis until 31st March 2028. An early start date is essential for this role. About you You will hold a postgraduate qualification with a significant computer science/bioinformatics component