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volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor measurements, analyze air quality data, and generate insights
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applicants must have (or be close to obtaining) a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area, with extensive research experience and a strong
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Summer Student Research Assistant Department
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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purification, molecular biology, next generation sequencing technologies and data analysis. Laboratory skills with molecular biology, data collection, analysis, and interpretation. Track record of quality
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Research Assistant 2 position is based in Prof. Benoit Boulet’s research lab in the department of Electrical and Computer Engineering. Job Summary The Research Assistant 2 will support research activities in
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subject area (e.g Biological Sciences). Experience in anaerobic cultivation of gut bacteria is essential. Independence is expected for routine microbiological and aseptic techniques. More information regarding
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integration of high-dimensional multi-omics, biomarker, and wearable-derived data. Aligned with the mission of the Charles Perkins Centre—to ease the burden of chronic lifestyle diseases and improve global
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify