203 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at University of Oxford
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knowledge in relevant approaches analysing weather or climate data, or data from related physical systems. Fixed-term until 28 February 2027, with the possibility of an extension of up to 19 months
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, decision-making, or other higher cognitive processes and experience of designing behavioural tasks and analysing behavioural data is also required. You will be able to demonstrate knowledge
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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be addressed to Dr Christian Schroeder de Witt (christian.schroeder@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications
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, contributing to data analysis and reporting, and helping to ensure the smooth running of research programmes. About you We are looking for someone who is proactive, organised, and collaborative, with strong
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of chromosomal mutations in bacteria; isolation of proteins expressed at native levels; proteomics and the analysis of proteomics data; high throughput genomic methods; the investigation of protein transport
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. You will maintain confidentiality regarding research data when interacting with non-collaborating researchers. It is essential that you hold a BSc degree, and are UK GMC registered Medical Practitioner
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if technical problems arise Select, follow, and adapt experimental protocols Gather, analyse, and present scientific data from a variety of sources Contribute to scientific reports and journal articles and the
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI