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will have the commitment, imagination and drive to join a small close-knit team that are involved in a large range of activities across the institution. The post holder will be based at the RVC’s Camden
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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knowledge on programming and data science and familiarity with applications in biology (e.g. bioinformatics), ideally in genomics. The post holder will contribute to the delivery of high-quality teaching and
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transcriptomics and proteomics data and will be integrated within a team within our lab working on this large project. The Ciccarelli lab is highly collaborative and interdisciplinary and the ability to work in a
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include system integration, Image processing, data analysis, and excellent written and verbal communication. The ability to work both independently and as part of a collaborative, multidisciplinary research
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within budget and the provision of up to-date information to support decision making. Understand programme budgets, financial tools and follow processes. Who we are looking for Experience in programme
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of Epidermolysis Bullosa (EB), with a focus on developing personalised medicine. This role offers the chance to dive into big data, integrating single-cell RNA sequencing and spatial proteomics using the latest
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collaborative and resilient Head of Marketing Analytics and Data to join Brand and Marketing on a permanent basis. We are seeking an experienced and commercially minded individual to lead our marketing analytics
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ensure that every student receives effective, professional and personalised support and guidance. You will deliver high quality, knowledgeable and timely information to engage all students in key-decision
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will have a PhD or equivalent experience in Computer Science, and be passionate about your work, preferable in subjects such as Fundamentals of Computer Science, Database Systems, Big Data Processing