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Management is one of Europe’s leading research groups in the field of Earth observation and remote sensing. Within the project “Assessing the impacts of transient forest edges on biophysical conditions and
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Are you a physicist, photonics expert, or laser enthusiast eager to tackle real-world problems? Join the EU MSCA Joint doctoral network PROTEMIC (“Integrated Spectroscopy for Protein Analysis Using Metasurfaces and Interband/Quantum Cascade Devices”) that is dedicated to using mid-IR lasers,...
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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funded by the German federal government and 10 percent by the state of Berlin. Job Description The Sugimoto Lab aims to elucidate how the human body and cells sense oxygen in health and disease. Our
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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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collaboration with partners from science and industry. You will experimentally investigate novel quantum sensing paradigms in illumination- type experiments with propagating quantum microwaves. Your work is
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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01.08.2025, Wissenschaftliches Personal For a scientific project for Spin-Selective Neutron Detection using Quantum Sensing, we are looking for a PhD Position (m/f/x) with 30h/week. The Technical
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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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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant