879 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Mechanisms and exploitation of phage host hijacking School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Per Bullough, Dr
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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
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interrogating finance data. • Monthly invoicing and timesheet analysis • Timesheet checks and input to bespoke system. • Providing administrative support for Project Managers. • Makes presentations to management
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. reports, data summaries, manuscripts and grant applications. Carry out administrative roles as required. Read academic papers, journals and textbooks and attend research seminars to keep abreast
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data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk About the Project: Parasitic weeds such as
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: The negative
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project, please contact Dr Mikko Juusola Link to website: https://sheffield.ac.uk/biosciences/people/academic-staff/mikko-juusola Eligibility: Open to International (including EU) and UK (home) students
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Thomas, Dr Stuart Butchart, Dr K L Evans, Dr O Crowe, Dr de Palma A.De-Palma@nhm.ac.uk Application Deadline: 07 January 2026 Details ACCE+ DLA is committed to recruiting extraordinary future scientists
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biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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the technique and broaden its application to include additional materials for a range of environmental and operating conditions. The project aims to develop a data driven GPU accelerated agent-based materials