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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the writing of scientific reports. Supporting the valorization of research
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downconversion layer Analysis of data using software tools such as MATLAB, Python, or Origin. The candidate must be familiar with materials studio software and any other materials modeling software. Experience in
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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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science and hydrological modeling related to mine water management. Key Responsibilities Conduct advanced analysis of climate variability using a range of observational and modeled datasets to discern
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around two main areas: Chemistry with its main chemical engineering component, chemo-biology and heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth
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position to join an interdisciplinary research project focused on metaproteomic analysis of soil microbial communities. This project aims to identify key genes and enzymes involved in mitigating salinity
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working on projects aimed at developing innovative, accurate, and cost-effective tools for foliar analysis and diagnosis. These tools will leverage various spectroscopic techniques (VNIR, SWIR, and XRF
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to the development, analysis, and improvement of emission inventories and source apportionment methodologies, with a focus on advancing our understanding of regional and global air pollution sources. Duties and