10 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" research jobs at University of Sheffield
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field data, the research assistant will help assess the accuracy, robustness and operational value of these algorithms for large-scale forest inventories and the detection of endangered species
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or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
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experimental work, undertake data analysis, prepare results for publication and communicate findings in workshops and conferences. This appointment will be subject to advanced pre-employment screening (via
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reliable and permanent record of participant flow through the study and all research aspects of the trial, ensuring compliance with ethical and safeguarding policies Manage project data including collection
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, to enhance patient care and staff development. Duties Engage in regular networking events and joint meetings to disseminate information, share lessons learned, and align educational strategies across divisions
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PMLD. Design and implement online, asynchronous training materials. Contribute to data collection using quantitative and qualitative methods. Collate, input and organise data into data analysis software
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to data collection and dissemination. The role offers an excellent opportunity to develop advanced qualitative research skills, work with diverse communities, and contribute to impactful research on health
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current postdoctoral researcher. Your responsibilities include recruiting eligible participants, screening and testing younger and older adults in the laboratory, and monitoring their longitudinal data over
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. As an essential part of this project, you will manage the maintenance of the butterfly stocks and the plants that they feed on, in addition to conducting laboratory work gathering data on scale
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'lifeing model' to optimise service life based on surface integrity. If you are a motivated student ready to harness experimental data and digital modelling to improve critical aerospace components