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quantitative skills (e.g., R, stock assessment models, statistical analysis). • Proficiency in English and French (Tahitian a strong asset). Place of work: Umeå Forms for funding or employment: Employment 4
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analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
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field Research experience in plant-pollinator interactions, floral evolution, or plant reproductive ecology Strong skills in statistical analysis and data handling (e.g., R or other relevant platforms
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of innovation and/or industrial policy in Africa. - Experience with Research and Development (R&D) and/or innovation data collection initiatives within the African Union. - Experience with STI capacity building
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substantial experience in metabolomics data analysis. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or
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. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via
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experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset. Personal merits will play an important role in the selection process. Place of work
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conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R Experience with traveling and spending time abroad Ability and willingness to teach and
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, initiative, and the capacity to work effectively in a team are essential. Prior experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset
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analysis and research approaches related to the sustainability and equity implications of innovation and/or industrial policy in Africa. - Experience with Research and Development (R&D) and/or innovation