286 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
skills, experience of delivering presentations Essential Application/interview Excellent record keeping and data management skills, with appropriate IT experience Essential Application/interview Ability
-
and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust
-
for evidence of ultra-light particles (e.g. axions) and beyond Standard Model physics in astronomical data. The student will undertake one or more projects in the areas above. In conjunction, the student will
-
the organisation and delivery of a range of marketing activities Develop, manage and maintain processes, tools, databases and spreadsheets to store information in the most appropriate format, adhering to GDPR
-
templates, distributing information and taking notes at meetings including as part of the major incident response. Use and report on health and safety related data in relevant University systems. Maintain
-
'. For further information about the project please contact the supervisor at martin.jackson@sheffield.ac.uk. fusion_cdt Funding Notes Students will receive a 4-year studentship including home tuition fees, UKRI
-
creative approaches to problem-solving. Essential Application/Interview Further Information Grade Grade 7 Salary £38,784 to £41,064 Work arrangement Full-time Duration March/April 2026 until January 2027
-
to consolidate the data. You will help develop a deep multifaceted understanding of (generational) war trauma in order to improve mental health care for veterans and their families, refugees, and other groups
-
leads and university central teams to ensure deadlines are met and to improve the student experience. This will require an ability to analyse and interpret data and to suggest creative approaches
-
the subsequent quality of the parts produced. Ultimately this information will be used to produce a thermal model of the process, to help develop specific guidance for future component and/or equipment design