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: Designing and conducting large-scale online consumer surveys Analyzing and interpreting quantitative consumer data Ensuring compliance with GDPR, data security protocols, and ethical standards, including
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maintaining the radioisotope license. Educate technical personnel and students in PET/SPECT/CT imaging and radiation safety. Guide researchers in experimental design, data interpretation, and imaging-related
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for reviewing relevant research, designing and conducting large-scale online surveys, analyzing data, and generating insights that contribute to evidence-based label development. The position, part of the Science
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of the research effort is data collection across landscapes, ecosystems and through time and SustainScapes leads several large monitoring projects across Denmark. The aim of these monitoring projects is to
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inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree
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Jobbeskrivelse SDU Center for Large Structure Production (LSP) , part of the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark (SDU) , invites application for a fully funded
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analyses. • Analyze and process microscopy data using specialized software • Train researchers and students in these techniques and advanced microscopy • Collaborate with team members on imaging needs
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needs Can perform complex tasks also in periods of intense activities Can assist with data entry and laboratory database maintenance Is collaborative and enjoys working in an international research
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-ence with machine learning, data analytics, big data handling and analysis, data engineering and management, and general competences in digitalization. You are familiar with Generative AI at theoretical
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the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to