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Field
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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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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of scientific publications. Documented experience in conducting register studies and managing large datasets. Good knowledge of Stata/R. Previous experience of working in multidisciplinary research groups. Basis
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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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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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, 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