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complex problems, which require high-level modelling, data analysis and management capabilities as well as developing solution algorithms, applying mathematical and computational approaches. The group has a
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of study is energy planning in general and focus is on technical and geographical aspects, such as energy system analysis, and economic and institutional aspects, such as feasibility studies and public
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strong Danish or Nordic element. The applicant therefore must be fluent in English as well as in Danish, and hold a Danish law degree. Ideally, the applicant must have undertaken previous study/research in
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neural networks are large black boxes, we need both automatic methods to analyze such systems and human-interpretable certificates of the analysis results. We will devise automatic and sound methods
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exploit such biomass when scaled up and integrated into an industrial setting. This analysis requires the combined application of qualitative and quantitative approaches to identify and describe future
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of the AI:EcoNet Lab. Requirements: Master’s degree in biology with a strong interest in data science Strong background in ecology and/or biogeography Experience with ecological networks, geospatial analysis and
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for managing End-of-Life (EOL) products, decision-making models for recovering, refurbishing, and reusing components from returned products, creating product and component traceability, effective disassembly
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integration analysis at energy system-level. The position is supported by a start-up grant to build a small research group and associated experimental facilities. However, it is expected that the applicant can
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algorithmsresponsible for detecting movement intention and timing the powered assistance. Human testing will involve motion analysis using optical and inertial motion capture, surface electromyography(EMG) and force
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with the perspective of translating the obtained results into digital health solutions. Sensory processing anomalies will be investigated in adults and children through recording and analysis of non