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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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the tool itself and a number of clinical phenotyping algorithms. This new tool will be part of the CogStack ecosystem, currently being deployed to multiple hospitals for near real-time analytics for direct
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algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime decarbonisation
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techniques, and you will work closely with the theory and algorithmics project group. Ultimately, we aim to expand these techniques into time resolved studies to explore the dynamics of biological systems. We
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include but are not limited to: programming, algorithms, software development, distributed systems, databases, mobile applications, operating systems, cloud computing, web design. The primary focus
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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are available, based on 0.5 of the full time rate. Due consideration should be given to financing your studies . Recommended reading 1 Bejnordi, B. E. et al. Diagnostic assessment of deep learning algorithms