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define observable events based on expert knowledge and available evidence. Development of a post-race analysis structure, process and data ‘toolkit’ that can build on historical understanding of race
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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26 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU management Research Field Engineering Economics Researcher Profile First Stage Researcher (R1
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executing data collection and analysis for multiple research projects, with special attention to Youth Justice projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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executing data collection and analysis for multiple research projects, with special attention to Crisis Response projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth