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, to ensure economic viability with off-peak times and relatively remote locations, while increasing the attractiveness to the users, we need innovative designs where fixed and flexible services support
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comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport
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, and will work in close collaboration with the FOX team of the CRISTAL laboratory. The LOA team has internationally recognized expertise in the field of radiative transfer and remote sensing. The CRISTAL
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the atomic to the industrial scale – to drive innovations that enable a sustainable energy transition. We are now inviting applications for a three-year PhD position in electrochemistry, focused
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engineering/science, remote sensing, computer science). A relevant master’s degree and/or employment experience will be an advantage. English language requirements: Applicants must meet the minimum English language
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degree in atmospheric science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric
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potential in transforming our environment to be more liveable, sustainable and convenient. However, to ensure economic viability with off-peak times and relatively remote locations, while increasing
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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an exciting opportunity to join a leading consortium at the cutting edge of satellite remote sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 2 months ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued