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Field
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dataset analysis to develop novel approaches to understanding impacts on fish life history of urbanised seascapes and consider impact and restoration trajectories. The project will involve significant
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The Scientific Challenge: Microbial ecosystems are complex adaptive systems whose emergent behavior remains poorly understood from first principles. In particular, it is not clear how functional diversity (i.e
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chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University's Department of Mechanical Engineering
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under the direction of senior personnel. This includes carrying out advanced microbiome experiments using proper methodologies; assisting in data analysis; providing reports; presenting at lab meetings
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complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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complex piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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, developers, and policymakers through qualitative and quantitative data collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate