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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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and curate LC-MS/MS data for high-quality feature extraction Design and train machine-learning models for mass spectrometry and chemometric data Integrate multi-omic data including genomics and
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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22, 2025 Description The University of Tennessee-Oak Ridge Innovation Institute (UT-ORII) is inviting applications for a non-tenure track research faculty position in Microbial Ecology with a
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration of Information Backbones including Digital Twins and
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better understanding of human behaviour and movement. Our aims are to help people live healthier lives, learn better and function better. Are you interested in joining Behavioural and Movement Sciences
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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, first on whether these indeed drive these aberrant states, and second on whether these indeed drive the growth pattern. You will be embedded both within an experimental and computational team, providing a