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-processing (noise-reduction, calibration) and analyzing sensor data; You work towards combining sensor fusion and inversion algorithms to interpret 3D subsurface variations; You participate in (international
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/nanofabrication, material science, sensor development, basic biochemistry, and electronics to generate a truly interdisciplinary doctoral research scientist. Α pleasant work climate to do cutting-edge science in a
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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University. CMST focuses on smart microsystems design, fabrication, and integration and more specifically: i) for health applications ii) conformable, soft sensors for wearables and textile integrated sensor
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will research strategies on including physics and enhance active learning as well as aim at reducing catastrophic forgetting. You will research how to uncover uncertainties that are hidden to sensors and
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monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim
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for variable rate fertilization including N synthetic fertilizers, manure and bio-based fertilizers. They will utilize advanced multi-sensor platforms (utilizing spectroscopy and electrochemical sensing
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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. Construct a model-based collision detection algorithm that exploits this mechanical compliance. Evaluate vibration dampening techniques in collaboration with the researchers from VUB. Design a hybrid robot
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital