Position:	PhD position Artificial Intelligence in Tumor Immunology
Institution:	Universität Basel
Location:	Basel, Switzerland
Duties:	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:	Master-, or equivalent degree in quantitative field such as artificial intelligence, computational biology, bioinformatics, physics or mathematics with strong interest in biology; Interest in the analysis of NGS data; Statistical knowledge and programming skills in R and Python; Fluent in English (speaking and writing)
Text:	PhD position 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 Master-, or equivalent degree in quantitative field such as artificial intelligence, computational biology, bioinformatics, physics or mathematics with strong interest in biology; Interest in the analysis of NGS data; Statistical knowledge and programming skills in R and Python; Fluent in English (speaking and writing)

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