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Infrastructure? No Offer Description The University of Eastern Finland is inviting applications for two Doctoral Researcher (PhD Student) positions in the field of Chemical Ecology and Plant Ecophysiology
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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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University, University of British Columbia, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: Master’s degree or PhD in statistics, bioinformatics, computational biology, or
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) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial
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studies of visuo-spatial and language skills in toddlers at elevated likelihood for autism in comparison with neuro-typically developing children Recruiting and testing participants Analysing datasets and
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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knowledge of German • Full endorsement of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https
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controlled climatic conditions. The statistically based studies cover a wide range of spatial scales, from regional (national), continental (European) to global, and address the detection, drivers, prediction