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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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datasets. Good knowledge of Stata/R. Previous experience of working in multidisciplinary research groups. Basis for assessment and selection In accordance with the provisions of the Higher Education
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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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and problem-solving skills are important, and previous experience or interest in coding (for example in R or Python) would be a clear advantage since the project involves handling and interpreting
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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