21 multiple-sequence-alignment PhD positions at Technical University of Denmark in Denmark
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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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the development of γδ T cells and their importance in various diseases, such as cancer and inflammation. Technically, our work is heavily focused on flow cytometry and single-cell RNA-sequencing and as a successful
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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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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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: Experience with experimental animal models Understanding of interactions between diet, intestinal microbiology and host health Knowledge of sequence-based analysis of bacterial communities Capable of working
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about the role, we encourage you to apply even if your experience does not perfectly align with every listed qualification above. We value potential, passion, and willingness to learn. Approval and
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with project coordination and collaboration across multiple stakeholders You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year