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candidate will work on innovative solutions that integrate advanced technologies, urban data, and sustainable approaches to enhance the performance of waste management systems. Key Responsibilities
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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. Proven ability to perform multidisciplinary research and contribute to funded research programs. Proven ability to the planning, sourcing, and development of new initiatives and ongoing research activities
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for developing and optimizing desalination processes, particularly reverse osmosis, with a focus on sustainability and efficiency. The work will involve improving the performance of treatment systems and proposing
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, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass
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the extraction yield. Perform comprehensive kinetic and thermodynamic studies to understand and optimize the extraction processes. Investigate structure-property relationships to correlate the extraction process
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on perovskite solar cell technology. The successful candidate will contribute to the development of high-performance perovskite-based solar cells through material synthesis, thin-film deposition, and large-scale
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subject to performance and the continued availability of funds. Job Responsibilities Establishing research protocols for large scale on-farm experiments with the components of biochemical analysis