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, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical Engineering, or a related field. Strong background in materials synthesis and
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social
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Qualifications: PhD in Geography, Urban Planning, Urban Sociology, Public Policy, or a related field. Expertise in social and economic geography to study territorial disparities. Understanding of key concepts
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et al., 2012), implying that the effect of other nutrients and micronutrients must be studied in detail. Hence a prerequisite for our ability to assess forest ecosystem evolution and maintenance
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to teaching activities or other transversal training. Disseminate research outcomes through participation in scientific events and publish in leading international journals. Desired skills and experiences: PhD
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properties and device fabrication. The applicant must have strong English communication skills, both written and oral, with the ability to present the data clearly. Description of the position: To perform
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, the development of proposals for research funding. Develop undergraduate courses, Master courses and modules. Support the appropriate equipment purchasing and ability to deal with international suppliers. Assist
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, the development of proposals for research funding. Develop undergraduate courses, Master courses and modules. Support the appropriate equipment purchasing and ability to deal with international suppliers. Assist
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding