37 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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capability across a wide range of applications, including robotics and autonomous systems, AI, and Data Science. Eligibility and Desired Background Applicants should hold (or expect to obtain) a first
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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Palynology please read our newsletters at: https://sites.google.com/sheffield.ac.uk/centreforpalynologynewsletters/home Science Graduate School As a PhD student in one of the science departments at the
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processing quickly, in an automatic way huge amounts of video data. Different intelligent video surveillance systems have been developed in a wide range of applications. In most cases these are multiple
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intelligent/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective
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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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experimental design, quantitative data analysis, scientific communication and interdisciplinary research. You will be supported by a world-class team of researchers and their teams that include PhD
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next generation of power grid. Cyber-physical power systems deploy the latest information and communications technologies to enable the data and information flows across different entitles of physical
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endothelial and smooth muscle cell culture, co-culture models, gene silencing approaches, fluorescence microscopy and immunostaining, qPCR and protein-based assays, and quantitative image and data analysis
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who have the opportunity to collect data in LMICs. Initial reading Dotse, J., Nicolson, R., & Rowe, R. (2019). Behavioral influences on driver crash risks in Ghana: A qualitative study of commercial