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publications Assist in supervising research students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have
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students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have experience in conducting wet-lab
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results and contribute to reports, publications, and presentations Job Requirements: Research Associate (Master’s level) Master’s degree covering topics in Plant Biology, Bioinformatics, Data Science
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compliance to data policies Development of computational methods and systems in support of the research activities Requirements: A BSc or MSc in Bioinformatics or similar field (Life Science or Computational
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sequencing approaches (e.g. bulk RNA sequencing and single cell RNA sequencing) and associated data analysis Familiarity with bioinformatics tools and pipelines for analysis and interpretation of high
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of the collaboration research data to ensure compliance to data policies Development of computational methods and systems in support of the research activities Requirements: A BSc or MSc in Bioinformatics or similar
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Development of computational methods and systems in support of the research activities Requirements: A BSc or MSc in Bioinformatics or similar field (Life Science or Computational Science graduates with keen
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(purchasing equipment, materials and consumables) Key Competencies and Requirements: PhD in biomedical sciences, bioinformatics, molecular epidemiology or related fields Experience with programming languages
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study and/or bioinformatic analysis At least 2 years of relevant experiences in academic/industrial environment, with end-to-end grants and/or project operations. Prior working experience in the areas
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experiments to investigate mechanisms relevant to gastric cancer and microbiome-related research Perform microbiome profiling and molecular analyses Perform bioinformatics and integrative multi-omics analyses