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Описание вакансии
TL;DR
Research Assistant in Quantitative Epidemiological Analysis (Bioinformatics): Conducting quantitative epidemiological analysis and developing methods for antimicrobial resistance gene classification with an accent on integrating analytical results into decision support tools. Focus on supporting EU research projects and applying machine learning to study antimicrobial resistance spread.
Company
DTU Food is a research department of the Technical University of Denmark specializing in food science and technology.
What you will do
- Conduct quantitative epidemiological analysis to study antimicrobial resistance.
- Develop novel methods for the classification of antimicrobial resistance genes.
- Integrate analytical results into a functional decision support tool.
- Support an EU research project focused on the spread of antimicrobial resistance.
- Communicate research findings and results to key stakeholders.
Requirements
- Proficiency in Python and R.
- Strong experience in statistical computing and data management.
- Expertise in bioinformatics and epidemiological analysis.
- Ability to apply machine learning techniques to biological data.
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