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computing as well as relevant experience with at least two of the programming languages Python, bash, perl and R is required. Teaching experience is expected and preferably within topics related
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statistical analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research
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(e.g., R or SAS, or Stata). Experience with study design and statistical analysis of epidemiological data. Experience with management of register data and/or big data in connection with scientific
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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experience with R • Field work, particularly collection of eDNA samples and biodiversity surveys • DNA laboratory work (preferably eDNA) The successful candidate will be responsible for the daily management
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. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration
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for national and international research grants and make important research contributions. Thrive in both teaching and research roles. Establish effective industrial R&D collaboration. Prior experience in