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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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, neuroplasticity, and recovery from neurological and visual disorders. We're looking for candidates with a strong background in machine learning, deep learning, programming, and computational methods, combined with
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hardware prototypes. Collaborate with interdisciplinary research teams spanning artificial intelligence, circuit design, computer architecture, and embedded systems engineering.
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from machine learning methods to more traditional statistical and econometric techniques. We are driven by science with purpose, pushing the academic frontier by publishing at the highest level in
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circular consumption contributes to extending product lifetime, retaining material value, and reducing waste, with cases on e-bikes and electronics (washing machines). Using a transdisciplinary research
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some experience with programming and/or scientific computer software is considered a plus. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial
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imaging. Experience with scientific programming (e.g., MATLAB, Python and/or C++). Excellent analytical and problem-solving skills. Interest in image reconstruction, beamforming, machine learning, and
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to extending product lifetime, retaining material value, and reducing waste, with cases on e-bikes and electronics (washing machines). Using a transdisciplinary research approach that includes stakeholder
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lubrication strategies. Rolling bearings are essential high-tech machine components of expensive and maintenance-sensitive equipment. Most rolling bearings are lubricated with grease, the latter often having a
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generation of experts skilled in the combination of Operation Research and trustworthy Machine Learning. CoRDS goes beyond the state-of-the-art DDO methods by proposing decision support frameworks that combine