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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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lead analysis of large-scale ‘omics datasets, including genomic sequencing, RNA-sequencing, and ribosome profiling data, playing a role in setting the project direction. You will work in a highly
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, extreme events (e.g. heatwaves, droughts, floods, etc.), and their attribution, as well as related health, developmental and socio-economic impacts. The successful candidate will play a key role in
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analysis and presentation. You will need to perform research work to a high standard and as per GCP. You will be highly organised, with proven experience in a laboratory environment. Attention to detail is
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permeability selection in variant membrane chemistries. This work will run in parallel to experimental analysis conducted at the University of Exeter using synthetic vesicles to observe permeability
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University weighting We are excited to offer this fixed-term Research Assistant position at the University of Oxford, under the supervision of Professor Nobuko Yoshida. The Research Assistant will be part of
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for data analysis/scientific computing, and excellent decision-making, problem-solving, planning, and organisational skills. Please direct enquiries about the role to Prof Martin Bureau: (martin.bureau