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mentor if relevant, and a third referee familiar with the applicant’s education, research, and entrepreneurial experience). Applicants are assumed to have obtained their references’ consent to be contacted
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PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral work and previous experience are related to one or more aspects of magnetic
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Requirement At least 3-5 years of experience in the field Demonstrated research experience in conducting on-station and on-farm research and also greenhouse and lab work on irrigation, salinity /agronomy as
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present your findings at scientific conferences. Experience and Qualifications: PhD in Agriculture, Environmental Science, Climate Change, or a closely related field. Strong background in agronomy, crop
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(OpenStreetMap, Copernicus, Google Earth Engine, etc.). Experience in processing, integrating, and visualizing large urban datasets (mobility, environment, infrastructure, demographics, etc.). Programming skills
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, Environmental Biology, Soil Science, or a related field. Strong background in microbial ecology, especially in cyanobacteria or microalgae biology. Strong experience in soil biological analysis Proven ability
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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salinization. Research will involve state-of-the-art metaproteomics, bioinformatics, and functional microbiome studies conducted in field trials, greenhouse experiments, and laboratory settings. This role will
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real
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planning, or a related field. Experience in Urban Economics and Finance: Strong experience in urban economics and finance research, demonstrated by relevant publications and research projects. Analytical