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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
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. Required Qualifications: Education: Ph.D. in electrical engineering, energy engineering, urban studies, or a related field. Experience: A solid background in research on urban energy networks, demonstrated
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porous materials for CO2 hydrogenation reactions using photo- or thermal catalysis. The successful candidate will be involved in optimizing the synthesis process, with experience in photo-catalysis
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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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into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis
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Science, or a related field. Strong background in microbial ecology, particularly with experience in cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both
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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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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra