The successful candidate will analyze high throughput data from next-generation sequencing (including bulk and single-cell experiments). A repository of immunosequencing data will be used to detect disease-specific and anti-tumor immune signatures using machine learning. You will work in close collaboration with the DBM Bioinformatics Core Facility
Requirements:
PhD degree in quantitative field such as artificial intelligence, computational biology, bioinformatics, physics or mathematics with strong interest in biology; Experience with the analysis of NGS data; Sound statistical knowledge and programming skills in R and Python; Fluent in English (speaking and writing)
Text:
Postdoc Position in Artificial Intelligence in Tumor Immunology The successful candidate will analyze high throughput data from next-generation sequencing (including bulk and single-cell experiments). A repository of immunosequencing data will be used to detect disease-specific and anti-tumor immune signatures using machine learning. You will work in close collaboration with the DBM Bioinformatics Core Facility PhD degree in quantitative field such as artificial intelligence, computational biology, bioinformatics, physics or mathematics with strong interest in biology; Experience with the analysis of NGS data; Sound statistical knowledge and programming skills in R and Python; Fluent in English (speaking and writing)
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