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: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. For further details, please visit our webpages Optimized
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and iteratively improved. • Integrate and test autonomy stacks (perception, learning, planning) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain
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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and express willingness to increase technical proficiency through programming coursework
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models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek a candidate
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a basic understanding of key AI concepts (machine learning, neural networks, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and
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on advances in electricity grids and power markets to facilitate energy resource interaction and exchange. These platforms provide data for flexibility and demand response, connecting distributed resources
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and power markets to facilitate energy resource interaction and exchange. These platforms provide data for flexibility and demand response, connecting distributed resources across decentralized
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Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
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completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with