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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High
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scholarship and heritage sector practice relating to wider histories of production and consumerism, sociability and embodiment, and global networks of exchange. This project will redefine carpet scholarship
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About the Opportunity The Network Science Institute (NetSI) at Northeastern University is a world-leading center for research and education in network science. NetSI faculty and researchers
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networks to support research activities and future career development The Person Knowledge, Skills and Experience Research interests and skills closely aligned with the project aim of investigating military
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, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and
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Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents
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status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be
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to attend Hub events, including symposia, project meetings, networking events and industry mentoring. The University of Oxford and the Department of Chemistry offer an inclusive and supportive working
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academics holding leadership roles in the EPSRC funded UK MetaMaterials Network Plus. About the Project We have an exciting opportunity for a Post-Doctoral Research Associate (PDRA) to join the Department
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data