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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
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in the field of heat pumps and refrigeration systems Knowledge of English. Specific Requirements Modelling and Simulation of CO2 Refrigeration Systems based on liquid piston compression, validated with
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plates exposed to various mechanical loads (e.g., compression, tension, bending, twisting). Imaging the mycelial network and using fluorescence microscopy to investigate material distribution. Developing
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space