Machine Learning Expert for Infectious Disease Diagnostics Researcher
vor 1 Tag
We are seeking a talented Biomedical Informatics Scientist for a Postdoctoral Fellowship at ETH Zurich. As part of our dynamic and interdisciplinary research team, you will apply machine learning (ML) and data science approaches to identify and define volatile biomarkers associated with bacterial activity in urine samples.
The project focuses on developing a novel diagnostic device, progressing from pre-clinical validation to clinical implementation. Our goal is to leverage high-resolution volatilomics and machine learning to identify minimal combinations of volatile biomarkers that can distinguish sterile from infected urine, predict antimicrobial resistance profiles, and assess the risk of invasiveness.
We require a researcher with strong expertise in machine learning, deep learning frameworks, statistical modeling, and proficiency in Python programming. Experience with mass spectrometry data analysis or metabolomics and familiarity with microbial genomics, genetic manipulation, or metabolic pathway analysis are highly desirable.
- Responsibilities:
- Develop and implement machine learning models to analyze high-dimensional metabolomics data
- Design and validate predictive algorithms for biomarker discovery
- Optimize data integration techniques for multi-omics and clinical datasets
- Perform trend analysis of bacteria-containing samples over time to observe growth and mutation
- Collaborate with interdisciplinary teams, including clinical partners, engineers, and microbiologists
- Prepare manuscripts, reports, and presentations to disseminate findings
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