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, movements and abundance on different spatial and temporal scales. Life history characterization and description of fitness optimization at individual and/or population level. Integration of survey- and
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, probability theory, and combinatorial optimization. Experience in decision-making under uncertainty and autonomous system operation. High level written and spoken English skills. You may obtain further
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hubs. Control and optimization of power electronics for flexible port energy systems. Modeling, simulation, and experimental validation of port power conversion and electrification solutions. Integration
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water quality. You will be embedded within the Ethio-Nature project, funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use
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the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site nature-based solutions that enhance local
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Tenure Track Assistant Professor in Green Chemistry and Food Waste Valorization at Aarhus Univers...
, and valuable platform chemicals. Understanding of optimization techniques, mathematical modelling, and green chemistry to improve sustainability of processes. Collaboration with industry partners
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, and valuable platform chemicals. Understanding of optimization techniques, mathematical modelling, and green chemistry to improve sustainability of processes. Collaboration with industry partners
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge
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CO2 capture from the atmosphere. Your objectives will include to: Develop new optimization and/or machine-learning based reconstruction and segmentation algorithms to improve image quality in time