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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected
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has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide support for the visa application process (if required) and we reimburse the cost
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://hr.admin.ox.ac.uk/staff-benefits Application Process This position is fixed term until 30/12/2026 Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as
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flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process. Apply now and join a community committed to transforming society and the economy. Explore
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control over bacterial cellulose (BC) production, aiming for modifications, enhancements, and customization through a streamlined process. This is a The RA will focus on integrating synthetic biology and
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, fairness). Provenance and integrity of machine learning pipelines. Generative content authenticity. Cyber-physical machine learning systems. Scalability of properties from small to large models. In
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the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems