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Field
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team
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training in computational tools and statistical methods over the course of the project. The project includes placements at NPL and Waters-TA Instruments, with opportunities to work in state-of-the-art
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desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3
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Organisational Psychology, and Methodology and Statistics. We are seeking a PhD student to join our small and focused team of researchers, dedicated to leveraging day-to-day behavior captured on smartphones
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demonstrable experience in academic writing for publication, e.g. peer reviewed paper(s) and/or report(s) Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative