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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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: 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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with AI/ML implementation, particularly for sensor data processing, feature learning, or autonomous system control Solid software development skills in languages such as Python, C/C++, or similar, with
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Python and experience with deep learning frameworks (e.g., PyTorch) Experience in working with time-series data Good understanding of Internet of Things, wireless communication network and systems Strong
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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