286 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Sheffield
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delegated budget responsibility for individual events. Analyse data and feedback from events, creating reports and making recommendations for future activity. Act as a key point of contact for event enquiries
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neurons using our in-house small molecule approach. Ordering and preparing reagents for the lab to run efficiently. Maintain accurate records of data. Assist PhD students / Research Associates with
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of systems to aid the organisation in the flow of work for the team, and liaise with team members, colleagues from other teams in EFM and the wider University to progress works. Record information, create
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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research directions include (but are not limited to): Data-Driven Material Characterization: Leveraging machine learning to extract constitutive models and material properties from experimental data and
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range of enzymes are employed to package and resolve entangled DNA. In this post-doctoral project, you will combine molecular simulation with single-molecular data to determine structural changes in
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University of Sheffield and regulatory frameworks to drive positive outcomes and contribute to impact reporting and publications. Provide information, advice & guidance to prospective students, their parents
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data collection in specific locations (where relevant), and then analyse and interpret data generated by the project. Work in collaboration with the other project team members to develop novel
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to researching TESOL materials and textbooks. Studies of content investigate what materials “include or exclude in terms of topic, linguistic information, pedagogy, and culture.” Studies of consumption examine how
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or is applying for external funding, and would be interested in working on projects using genomic data to understand levels of variation in insect populations in relation to environmental stressors