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Continuous training, access to lab facilities, state of the art infrastructure and polyvalent working spaces, participation in scientific events and R&D projects, complementary skills development. We have
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of Applied Ecology (or associated fields, and fully comply with the following requirements: The PhD must have been granted more than 5 years ago; Demonstrated experience in R&D activity in Environmental
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, including surveys and focus group protocols, to gather community feedback on research initiatives. Proficiency in qualitative and quantitative research methods and data analysis tools, such as R, SPSS, Stata
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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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/ Architecture or related fields or in a course that does not lead to an academic degree as part of the educational project of a higher education institution, whether integrated or not in R&D Units. Preference
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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
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of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec/jobs/ IBEC´s Commitment on equal opportunity, diversity, and Inclusion
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• Understanding of agricultural production systems in the U.S • Experience working with spatial data and machine learning models. • Strong knowledge of programming languages, such as Python, R . • Demonstrated
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, such as R, SPSS, Stata, MAXQDA, and Nvivo. Aid in the analysis of data to derive insights into best practices for practitioners and recommendations for policy makers. Ability to present research findings
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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