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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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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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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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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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bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function prediction, antibiotic resistance analysis, and evolutionary studies. Analyze and interpret
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our research team for an exciting project focused on the development of novel synthetic methods for the production of phosphorus derivatives. These derivatives play a crucial role in various industrial
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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researcher to join our research team on urban economics and finance. The successful candidate will work on interdisciplinary projects aimed at understanding and improving the economic and financial aspects
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, atmospheric chemistry, environmental monitoring, or pesticide analysis and scientific communication. Ability to work independently and collaboratively in a multidisciplinary team.