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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https
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species using botanical identification keys and AI tools. Elaborate plant and soil databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields such as energy, metallurgy, smart materials, chemical engineering, and
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and plant analyses to assess nutrient availability and fertilizer efficiency. Design experimental protocols, supervise trials, collect data, and perform statistical analysis of experimental results
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-controlled release, and soil hydration using multi-source biomass feedstocks. Job duties The successful candidate is expected to: Design, formulate, and characterize biobased materials such as hydrogels
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fixation) and crop growth/yield improvement. Key responsibilities: The successful candidate will be expected to: • Design and conduct Lab, greenhouse and field experiments. • Perform soil-plant
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influence the biological nutrient acquisition (including biological N2 fixation) and crop growth/yield improvement. Key responsibilities: The successful candidate will be expected to: Design and conduct Lab
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applied research to address real-world water challenges. Key duties: Successful candidates are expected to: Design and set up a pilot-scale media filtration process for seawater pretreatment prior
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patterns through albedo, evapotranspiration (forest ecosystems provide 2/3 of the continent precipitation), surface roughness and aerosols emission. At longer timescales, forests, via the formation of soil