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programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc
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responsible for developing models and conducting statistical analyses on data obtained from spectroscopic and geochemical analyses of geological and archaeological chert samples. Additionally, the applicant
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in any of the following areas are desirable (but optional): Probability and statistics. Mathematics and/or applied mathematics. Bias detection and correction. Transfer learning and domain adaptation
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and monitoring fieldwork, (2) carry out in situ experiments to assess the recruitment of the model coral species, (3) statistically analyse data obtained, and (4) write reports and scientific research
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collection. Analysis of the collected samples Statistical treatment of the data. Writing reports and manuscripts for publication Requirements Research FieldEducational sciencesEducation LevelPhD or equivalent
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start date.) • Expertise in one or more of the following quantitative methods: numerical simulation models, input–output analysis, machine learning or statistical methods. Note that we do not expect a
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climate dynamics and statistical analysis. Specific Requirements Good skills at programming (python). Experience writing scientific articles and presenting results at international conferences
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and bioengineering international researchers. (vii) Computer skills, MATLAB or similar, and knowledge of statistic analysis. (viii) Communication skills, ability to work in a team and good level of
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available1Company/InstituteDepartment of Genetics, Microbiology and Statistics. Faculty of Biology. University of Barcelona. CountrySpainState/ProvinceBarcelonaCityBarcelonaPostal Code08028 BarcelonaStreetAv
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, knowledge in any of the following areas are desirable (but optional): ‐ Probability and statistics. ‐ Mathematics and/or applied mathematics. ‐ Bias detection and correction. ‐ Transfer learning and domain