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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 writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
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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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-haves): Programming and data work: R or Python; regular expressions; data wrangling libraries; Structured Query Language (SQL). Web and text data: web scraping; application programming interfaces (APIs
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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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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as
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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