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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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, 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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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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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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align with the objectives of the CopeNLU research group and more specifically with the research interests of the main project supervisor . The overall focus of the PhD will be on trustworthy NLP models
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-modal sensing and AI, aligned with agronomist-defined needs. Participate in integration and field testing with Robotic Intercropping partners. For PhD#1 (MRS): Embodiment and control of the MRS
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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