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Field
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of peer-reviewed publications and conference presentations in traumatic stress. Advanced data anaylsis skills, including use of statistical software (e.g. SPSS, R, SAS). Prior involvement in successful
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. Ecoscience, 10(4), 412-420. Gaillard, J. M., Mark Hewison, A. J., Klein, F., Plard, F., Douhard, M., Davison, R., & Bonenfant, C. (2013). How does climate change influence demographic processes of widespread
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of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. More information
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500 - Alto da Lapa Postal Code 05468-901 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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, or a related field, with demonstrated experience in quantitative ecological modelling, community or population dynamics, and strong analytical and programming skills (R or Python). How to apply
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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international Geometric Measure Theory seminar and the NCTS Differential Geometry seminar –yield a steady exposure to progress in these research areas. Benefits of living in Taiwan (R. O. C.) Concerning daily
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related to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R