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. We are a team of currently about 20 researchers, engineers and PhD students, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and
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. The successful candidate will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and
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participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
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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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of “Developing locally integrated models for sustainable energy investments in rural areas”. The sustainable transition of Europe’s energy infrastructure involves large investments in new infrastructure, such as
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic practices. Documents should not contain a CPR number (civil
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into English. The project proposal, project abstract, and CV must be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic
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analogous neural circuitry and shared molecular pathways have established songbirds as the model system of choice for human speech learning and fine motor control in general. The PhD candidate will use
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. The system will include: A very compact, ultra-low-power analog front-end (AFE) to sense neural signals. An on-chip neuromorphic processor to convert the neural data into spike-based encoded data and