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Field
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data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. The post-holder will lead the design, development, deployment and evaluation
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
tools for interactive and distance learning. Key Responsibilities: Research Conduct research and development on the Augmented Smart Classroom (SmartClass) platform, focusing on data collection, analytics
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transformations, geometric corrections, raster-vector conversions, attribute joins, and data cleaning using tools such as QGIS, ArcGIS, or R and Python geospatial libraries (e.g., R's sf and terra packages
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frameworks from the past decade of international literature Contributing to the co-design and iterative development of the Planetary Health Policy Compass, a practical tool to support integrated planetary
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functions as minimally invasive surgical tools and implantable devices. Job description Develop biocompatible soft actuators controlled by light with performance matching benchmarked soft robotic actuators
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ongoing projects and grants related to cognitive neuroscience and artificial intelligence. Responsibilities include manual annotation, modification, and quality control of training datasets used to study
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optimising the operation of physical test rigs for the validation of computational models. Expertise and/or experience in the use of computational modelling tools to analyse thermal hydraulics and multiphase
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Engineering (ECpE) offers undergraduate and graduate degree programs that provide students with the knowledge and tools they need to succeed in the electrical engineering, computer engineering, software
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down and genome editing techniques Experience in writing scientific reports and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools
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with materials. Proficiency in imaging software and data analysis tools. Effective communication and collaboration skills for multidisciplinary research environments. Before applying, please note that to