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these. We conduct research within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics
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outperforms previous magnetoresistive devices by orders of magnitude, and ii) assess its potential for applications, including magnetoresistive sensors. Responsibilities and qualifications The primary tasks
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-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid tissues with embedded sensors Functional Bio-matrices for embedded bioprinting of perfusable tissue
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Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT, and solar power. Together, we pursue the common goal of accelerating the decarbonization of energy
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to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be
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experience with deep learning frameworks (e.g., PyTorch) Experience in working with time-series data Good understanding of Internet of Things, wireless communication network and systems Strong publication
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for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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limited to: Testing underwater frames and instrumentation, including sensor testing and calibration Quantifying benthic biogeochemical fluxes and momentum fluxes in situ from high-density datasets (e.g