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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 11 days ago
performance and experience relevant to the scientific area and the project work-plan, including participation in R&D projects (especially the areas valued in point 2 of this notice) and international networking
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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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track record of publications, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and
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to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec
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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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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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and/or R knowledge will be given priority. This individual will act as the lead team member for a specific administrative data set and will assist other lead members on their assigned administrative
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and/or R knowledge will be given priority. This individual will act as the lead team member for a specific administrative data set and will assist other lead members on their assigned administrative
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(cooperation with R programmer) modelling impact on soil ecosystem services in various real use cases and different scenarios. (several SOILPROM case studies in different countries focusing on different