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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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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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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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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 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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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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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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, 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
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in Northern Nevada. Dual Career Assistance Program College Information The University of Nevada, Reno College of Engineering continues its expansion with a bold new vision to contribute to national and
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Strong background in SEM, FIB, EDS, RAMAN, LC-MS/MS, and FTIR Proficiency in data analysis and data modeling Excellent written and communication skills with demonstrated records of publications. Strong