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. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs
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systems, focusing on water management, nutrient release, and pollutant retention. Conduct greenhouse and/or field trials to evaluate agronomic performance and environmental benefits. Prepare scientific
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materials (e.g., heterogeneous catalysts, supported metal catalysts, photocatalysts). Design experimental setups for gas-phase and liquid-phase catalytic reactions. Conduct kinetic and mechanistic studies
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plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project team. Identification of the isolated strains using 16s RNA and ITS Conduct the whole
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biologists, bioprocess specialists, animal scientist, etc to respond to regional challenges affecting marginal environments. Job Summary The postdoc will conduct research, prepare proposals, write reports and
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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and the valorization of indurated phosphate-rich waste rocks. Main responsibilities: Conduct a detailed literature review on autogenous grinding and phosphate-rich mining waste. Design and implement
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, and European universities, and we are equipped with OMICS state-of-the-art technologies. Fellowship Competitive international compensation and health insurance Expected activities. Conduct research as
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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests