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on quantitative methods such as applied simulation, big data, artificial intelligence, and machine learning as well as an ability to apply such skills to interventions research, field experiments, and
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, industry and network organizations. The Maersk Mc-Kinney Moller Institute is an internationally recognized research department with strong research units in robotics, drones, artificial intelligence
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systems, artificial intelligence, and mechatronic prototyping, conducted by teams of scientists and support staff. The ideal PhD candidate will be expected to engage in high-quality research, contribute
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Robotics’ comprehensive research activities within the areas of artificial intelligence, computer vision, control, and learning from demonstration. The position requires a master’s degree (equivalent to a
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of scientists and support staff with competences spanning a wide range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life
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. The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on data governance, artificial intelligence, and applied machine learning. Successful
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., mechatronics, modelling, kinematics, dynamics and control) Experimental design and data analysis Preferably, the candidate has experience with: Artificial Intelligence Impedance sensing circuit and DSP