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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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well as the organic matter persistence. Responsibilities and qualifications Your tasks will be to: Use bioinformatic tools to mine metagenomic datasets for enzyme-specific sequences (oxidoreductases and/or hydrolases
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, next-generation sequencing such as long-read sequencing, and high-throughput analysis techniques. Primary tasks: Culture human T cells and cancer cells Design multiplexed CRISPR strategies Analyse
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
environment. Our research facilities include modern laboratories located in the Mærsk tower with access to state-of-the-art facilities for cell engineering, next-generation sequencing, flow cytometry, and mass
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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motivating the application (cover letter) including how your past research experience and interests align with the core mission of our lab, and how training with us will support your long-term career goals
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. The research will contribute to understanding how energy-related decisions in the built environment can align with global sustainability thresholds. The PhD project will involve interdisciplinary collaboration