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involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community for cross-border
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. Documented practical experience in high-plex image analysis of tissue Documented knowledge and practical experience in programming and data analysis in R. Good communication skills and extensive documented
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Competencies Strong analytical and problem-solving skills. Ability to work independently and as part of a multidisciplinary research team. Excellent communication skills in English, both written and oral
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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degree. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal communication skills in English Documented experience from modern LC-MS
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natural language processing with causal estimation. Recent directions in the project include using large language models to remove treatment-predictive information from text, benchmarking debiasing
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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well-organized and structured, can work both independently and proactively, and has good communication skills. As postdoctoral appointments are career-developing positions for junior researchers, we
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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community