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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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Experience with machine learning, data mining and data assimilation is a plus Knowledge of git, docker, kubernetes, and/or metadata is a plus Ability to work within a team Excellent interpersonal and
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legal arrangements surrounding the mining and trade of sand. The PDRA will take the lead on coordinating data collection and conducting field research one country in Southeast Asia. The post-holder will
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legal arrangements surrounding the mining and trade of sand. The PDRA will take the lead on coordinating data collection and conducting field research one country in Southeast Asia. The post-holder will
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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responses to different investigated factors (stresses, amendment, photoperiod, etc.) Develop and deliver training modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection
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of agricultural in dry lands and marginal environments, animal value chain, water and energy sustainability, biorefinery and bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining
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Ireland to investigate perennial ryegrass and white clover responses to different abiotic stresses (high temperature and drought) using specific seasonal conditions. The research project will involve plant
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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able
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, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as