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of flora and fauna, ecosystems ecology, environmental sociology, stakeholder engagement and integration, R-coding, GIS, and mapping software will be beneficial. More specifically, we welcome a candidate with
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knowledge about site-selection, restoration method development, monitoring and quantification of ecosystem services. Skills in GIS and remote sensing (drones or side-scan sonar) are an advantage. You hold a
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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in collaborative research environments. Interest in mentoring students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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stakeholders Excellent communication skills Demonstrated technical skills in field work, GIS, multivariate statistics, Bayesian statistics and modelling. Who we are The Department of Ecoscience is engaged in
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students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an advantage, as is knowledge of genetic methods (e.g., SNP-based data