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, Remote Sensing, GIScience, Computer Science, Statistics, Data Science or a related field; (b) preferably have at least two years of postdoctoral research experience; (c) have strong background in
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volatile organic compounds using gas chromatography-mass spectrometry or proton transfer reaction – time of flight – mass spectrometry competence with statistical analysis using either SPSS or R a driving
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
department Methodology and Statistics gives you the opportunity to kickstart an academic career. Your position Research: The Future of Mixed Methods Research is Rigorous, Open, and Scaleable through Automation
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, Environment, Science or Data Analysis, Statistics, Computer Science, Mathematics, Biology or related fields; Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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quantum hydrodynamics , Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter , Space Technology and its Applications , spin-orbit coupling , Statistical Mechanics , Statistical physics
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) Well-developed statistical software skills (preferably in R, Python, GIS) Competences in quantitative research
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral