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chemistry and greenhouse gas analytical systems (25%), build data management infrastructure, including LIMS implementation (15%), publish synthesis papers integrating findings across network projects (15
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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Requirements: PhD in Data Science, Computer Science, Biomedical Informatics or related field At least 3 years of relevant experience in data science or analytics role Strong analytical and problem-solving skills
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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these disciplines. Analytical Proficiency: Demonstrate proficiency in biostatistical analysis, data management, and physicochemical analytical methods, with a preference for candidates who have experience in
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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in Medicine, contributing to the study design and analysis of data alongside the development and application of new analytical methods independently or in collaboration with others. This post will be a
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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with experience in Data Science and Analytics; (b) preferably have at least two years of relevant postdoctoral research experience; (c) have demonstrated promise of a high level of creativity in
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: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields. Prior experience and proficiency in educational data mining and