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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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temporal dynamics and generating accurate user behavior embeddings from a sequence of items? How do different training strategies—such as sequential prediction, contrastive pretraining (e.g., InfoNCE loss
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contribution to the principles of the ‘Sheffield Academic’. These include the achievement of excellence in applied teaching and research, and scholarly pursuits to make a genuine difference in the subject area
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different timelines, often providing novel solutions to complex problems. This position will work closely with the team’s Technical Project Manager but must also operate independently and with other
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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journals required; technical expertise in medical imaging physics and image reconstruction required; ability to program in Matlab and Python required. Requires successful completion of a background check
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power users to design and implement infrastructure that supports analytics and machine learning workflows, including feature engineering pipelines and model outputs integration. Use Python or R to support
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characterization methods. Strong mathematical skills and experience in numercial methods for structural analysis. Proficiency in programming skills (e.g. Matlab, Python). You have obtained an MSc or equivalent
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably