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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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, scientific curiosity, problem-solving skills, and independent initiative Strong analytical skills and proficiency in written and spoken English Nice to have: Bioinformatic analysis experience (e.g., single
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documented by a PhD dissertation and/or research publications a solid theoretical and analytical understanding of text culture, AI, and related fields experience of empirical research methods, such as corpus
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the future through relations with kin (family and acquaintances) and through encountering Danish institutions locally and Ukrainian institutions transnationally. The project aims to develop a novel analytical
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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domain as documented by a PhD dissertation and/or research publications A solid theoretical and analytical understanding of text culture, AI, and related fields Experience of empirical research methods
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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and data analysis. A strong analytical mindset The ability to work independently as well as collaboratively in an international, interdisciplinary team. Excellent communication skills in English, both