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Field
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, funding, or education, we offer a range of opportunities to help you achieve your goals and make a meaningful impact in this exciting field. Check out the opportunities at MCML . Applications are usually
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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pollution, accounting for 7% of national CO2 emissions, 4% of waste, and 13% of raw material use-figures that place it above the international average. Much of this environmental impact results from
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structured doctoral programme of six semesters: an introductory workshop two alternating series of lectures (on histories and typologies of written artefacts) comparative and methodological workshops
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efforts in materials physics and design, quantum optics, sensing and communication, biophysics, plasma physics, and continuum physics. Our research impacts society with new sustainable energy technologies
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to the fields of AI, biomechanics, and applied sports science, this project offers a unique opportunity for PhD candidates to engage in interdisciplinary research with real-world impact. The project also includes
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. The planned dissertation work focuses on how employees within the municipal company Vakin work with data management, and how organizational structures affect the possibility of creating a data-driven culture
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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adaptation efforts, may impact the risk of violent conflict. While the precise focus of the project will be decided in collaboration with the successful candidate, the project might explore how different