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implications. The centre is recognized for its strong profile in analytical demography, demographic modelling, and forecasting. Its research meets the highest international standards, demonstrated by
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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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the section Ingredient and Dairy Technology. Further information on the Department is linked at https://food.ku.dk/english/ . Inquiries about the position can be made to Tenure Track Assistant Professor Norbert
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We
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with academic and industry partners Disseminate results through publications and stakeholder engagement Your primary qualifications are: As a formal qualification, you must hold a PhD degree (or
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expect you to run advanced analytical methods (NMR, GC, MS, DSC, FTIR, SEM, etc.) to study and characterize the biodegradation pathways and quantify product formation. Expertise in working with different
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g