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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 16 days ago
including descriptive and exploratory analyses of mobility; sequence and trajectory analysis of educational and employment pathways; and quasi-experimental methods to address selection bias and explore causal
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computational analysis plans Execution of analysis plans and its subsequent interpretation Generate analysis reports and communicate them to researchers Management of the collaboration research data to ensure
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characterization. The position focuses on histological sample preparation, imaging, and qualitative and quantitative analysis of tissue sections. The student will work closely with a graduate/post-doc mentor
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 3 months ago
for teachers. The project builds on Numeralis, an adaptive screening instrument comprising cognitive and mathematics tasks. The project combines secondary data analysis, large-scale pupil screening
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of biological problems to actionable computational analysis plans Execution of analysis plans and its subsequent interpretation Generate analysis reports and communicate them to researchers Management
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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-programmes/data-science. Key Responsibilities: Communication with researchers to understand biological problems Facilitate the translation of biological problems to actionable computational analysis plans
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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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spectrometry, statistical data analysis, machine learning, and scientific programming would be useful, but not essential. The project will involve a mixture of experiments and data analysis, and applicants
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related