53 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Birmingham
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, natural sciences, computing, physics, informatics or computer science and normally, a higher degree in bioinformatics, statistics or machine learning either of eukaryotic hosts or microbiome Basic
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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. To carry out a literature review of the topic area. To gain sufficient research data and experience that will enable completion of a higher degree (PhD or MD). To comply with the terms and conditions
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in
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develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed research fellow
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and