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engagement (EPE) programmes, linking with schools and the public. The role-holder will coordinate the Research Ireland funded Chemistry Toolbox project, using a guided inquiry approach for non-formal science
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor measurements, analyze air quality data, and generate insights
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experience. They should also have a strong publication record in laboratory-based research and clinical data analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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information More information on the position (and project description) can be obtained from Head of Department Tore Markeset, tel: 518 321 91, e-mail: tore.markeset@uis.no or Professor Roger Flage, tel: 518
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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project - “Automated monitoring traffic data system for detector status and non-recurrent events”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have
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will be given priority. Application To apply for this position please follow the link "Apply for this job". Your application letter, relevant education and work experience as well as language skills must