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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
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coherence time and emission in the visible and NIR spectrum. In the last few years, a lot of research has been done on proving REIs as qubits, including showing remote entanglement and quantum teleportation
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been done on proving REIs as qubits, including showing remote entanglement and quantum teleportation. We are looking for PhD students to join the Hermans Lab and take the next step and build a next
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral
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Experience in processing remote-sensing information and machine learning is an asset Capacity for interdisciplinary teamwork and excellent communication and presentation skills Ability to communicate in
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of far-infrared electronics, with real-world impact in areas such as wireless systems, remote sensing, and space instrumentation. Information about the division and the department At the Department
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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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research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation