Biomedical Informatics Scientist for Postdoctoral Fellowship
vor 1 Tag
Eidgenössische Technische Hochschule Zürich (ETH Zurich) is seeking a highly motivated and skilled Postdoctoral Fellow in Machine Learning for Infectious Disease Diagnostics. The successful candidate will join our dynamic and interdisciplinary research team to apply machine learning (ML) and data science approaches to identify and define volatile biomarkers associated with bacterial activity in urine samples.
The project aims to develop a novel diagnostic device, progressing from pre-clinical validation to clinical implementation. By leveraging high-resolution volatilomics and machine learning, our goal is 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. The ideal candidate will have experience with mass spectrometry data analysis or metabolomics and be familiar with microbial genomics, genetic manipulation, or metabolic pathway analysis.
- Main Responsibilities:
- Apply machine learning and data science approaches to identify volatile biomarkers
- Develop and implement predictive algorithms for biomarker discovery
- Collaborate with interdisciplinary teams, including clinical partners, engineers, and microbiologists
- Prepare manuscripts, reports, and presentations to disseminate findings
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Zürich, Zürich, Schweiz Eidgenössische Technische Hochschule Zürich VollzeitWe 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...
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