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learns auditory information. Methodologically, the project will explore the integration of information-theoretic decompositions, deep neural architectures, and large language models (LLMs) as powerful
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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key to revealing how the brain tracks, processes, and learns auditory information. Methodologically, the project will explore the integration of information-theoretic decompositions, deep neural
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Business School are available at www.cbs.dk/en . Apply for position WE TRANSFORM SOCIETY WITH BUSINESS CBS is a globally recognised business school with deep roots in the Nordic socio-economic model. Our
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deep learning, preferably including some exposure to graph neural networks or geometric deep learning. Proven experience with implementing machine learning methods in Python and Pytorch. Familiarity with
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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Business School are available at www.cbs.dk/en . Closing date: 15 October 2025. Apply online CBS is a globally recognised business school with deep roots in the Nordic socio-economic model. Our faculty has a