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of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
experimental design and statistical analysis tools. Proven track record of high-quality publications in reputable venues. Excellent communication and collaboration skills, with the ability to work effectively in
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statistical and quantitative analytical methods. Demonstrated ability to publish high-quality research in leading peer-reviewed journals and effectively communicate research outcomes to a range of audiences
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data engineering, statistical modelling and natural language processing, including from partners at the South London and Maudsley NHS Foundation Trust and King’s College London. You will be supported
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rolling basis year-round. Early submission is encouraged. The School of Mathematics and Statistics at Beijing Institute of Technology is a vibrant and rapidly expanding academic community dedicated
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shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
, structural biology, computational biology or a related field, and experience in computational structural biology, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization
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using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated
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potentially meta-transcriptomic sequencing data alongside phenotypic and other veterinary data generated by project partners at NMBU. This integration could involve conducting statistical and computational