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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality
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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy, Cosmetology, or a related field. The successful candidate will focus on developing new formulations with
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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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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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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary
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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field