14 data-"https:"-"https:"-"https:"-"https:"-"https:"-"CNRS" Postdoctoral positions at Aalborg University
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department of
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interests. Scientific dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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close interaction with colleagues in the group and external partners in Denmark and Europe. You will work with the design and execution of research studies, the analysis and interpretation of data, and
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results
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be based on new innovative ways to utilize the many data sources already available in PREDICT, including registry data, genomics, microbiomics, metabolomics and epigenetics. The postdoc fellow will
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in the research project. You will conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and
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in leading journals, and attract future research funding. Senior researchers will actively support access to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies
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design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed-term position of three years, including
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to research activities and stakeholder interactions as part of the ORBIT Consortium. Work duties (e.g., data collection) will take place mainly in Denmark, but may also include data collection and