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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 13 days ago
) approaches, off-the-shelf solutions cannot be employed given the vast diversity of microbial communities and the limitations in the number of observations from remote deep-sea sites. In this project, you will
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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with possibility of renewal. Hybrid eligible. The position (exempt only) is partially remote, and the employee must willing to relocate to Durham, NC. Duke is an Equal Opportunity Employer committed
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Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering
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, resorting to the skills of the human operator for the highest level decisions and some fine physical interactions. To ensure the safety of the operator, he/she will remotely control the robots. To achieve
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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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The UCAM-SENS unit is seeking a PhD student to join the European Project IRHIS (Interoperable Remote Health Innovation brought to Scale). About UCAM-SENS UCAM-SENS is a leading research unit
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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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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 28 days 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