632 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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Traditional machine learning (ML) approaches require large volumes of annotated defect data and significant manual oversight. For the aerospace industry, this, combined with rare, but critical, defect examples
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Molecular Biology experimental techniques, such as PCR and molecular cloning and experience with analysing data from high-throughput sequencing experiments, including analytic pipelines, and the development
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& Castello, 2024). Applicants will also likely draw upon seminal frameworks to help make sense of the data, such as that of legitimate peripheral participation (Lave & Wenger, 1991), and upon writing on AcLits
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Targets in Amyotrophic Lateral Sclerosis Using Patient-Derived Models and Single-Cell Multiomic Data" Host Institution: University of Sheffield Primary Supervisor: Dr Richard Mead Secondary Supervisors
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protocols, and analysing data, and who is motivated by translational work that is intended to function in real patients rather than remain as a laboratory demonstration. Entry requirements Candidates must
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audiences Essential Application/interview Ability to coordinate information and liaise with a range of stakeholders, including academics, community groups, and partner organisations Essential Application
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series of qualitative and quantitative methods were used resulting in a significant data set which has informed a series of academic papers and reports. The team is now moving to the final output
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on AI / machine learning approaches, data integration, and evaluation protocols, ensuring alignment with OMAIB’s open research principles and deployment-centric focus. Contribute to the creation, curation
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, particularly gene and protein expression analysis in neurons and immunohistochemistry. Keep excellent scientific records and analyze and interpret experimental data, prepare reports and participate in conference
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computer scientists how to process speech with computers and how to build speech-based technologies. Dr Anton Ragni of the SpandH group is responsible for teaching speech processing and speech technology