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and validate the developed models using real-world case studies and data. The research plan will be tailored based on the candidate’s background in flood management, data science, environmental modeling
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information, see https://growthandyield.ca.Applicants must demonstrate- Strong interest in forest science and remote sensing- Strong written communication and data science skills- Relevant prior M.Sc. with
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
break. For more information, see our website. Faculty The Faculty of Science at Leiden University is a world-class faculty where staff and students work together in a dynamic international environment. It
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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the gastrointestinal system. This large-scale project, with partners at the LSB and the IUF in Düsseldorf (Leibniz Research Institute for Environmental Medicine), combines cellular and molecular biology, sensory science
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knowledge as well as contributing to solving the world’s challenges within biology, chemistry, biotechnology, bioengineering, environmental science, and chemical engineering. We continuously improve our
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, reliability, and environmental resilience. The proliferation of intelligent systems has led to increased energy consumption, raising concerns about sustainability and operational costs. Energy-efficient
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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characterization aspect of the project, i.e. investigation of dynamics during catalyst activation and reaction by in-situ transmission electron microscopy. VISION is pioneering technology for visualizing catalytic