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In this PhD position, you will help 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
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to teaching or other forms of knowledge dissemination within the department. Your competencies You hold a Master’s degree in forensic science, chemistry, chemical engineering, analytical science, data science
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actually work. Is comfortable with mathematical modelling and analytical thinking. Is motivated to combine physical insight with data-drive methods. Enjoys building models and methods – not just analyzing
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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, data, and analytical frameworks related to existing buildings, and contributing to the development and testing of AESA approaches for renovation and transformation practices. Your competencies
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experience in handling and analyzing large-scale genetic datasets are highly desirable. Familiarity with genetic association studies and the development or use of analytical pipelines for genomic data is an
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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be motivated to conduct in-depth empirical research in close interaction with the port sector. Solid qualitative methodological skills are required, and prior experience with qualitative data
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ideas across disciplinary boundaries. You have good analytical abilities, scientific curiosity, and the ability to document and communicate your work clearly in writing and presentations. You have strong
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish