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mechatronics, robotics, system dynamics, control, mechanisms, engineering mechanics and related fields Strong ability in firmware and real time control algorithm development for mechatronic systems & applying
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firmware and real time control algorithm development for mechatronic systems & applying knowledge in dynamics and designing various components for mechanical systems and automation Ability of developing
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documentation of work and openness to feedback Previous experience working with remote sensing imagery, deep learning algorithms, or machine learning training data is desirable but not essential Ability to carry
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Auckland, or perhaps two different cities for comparison. This will likely be done using open-source road network data from OpenStreetMap or Overture Maps. Develop bi-objective shortest path algorithm
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algorithms, and hold a PhD in Electrical Engineering, Computational Engineering, Applied Mathematics, or a related field. You will also have: Strong understanding of power system transient simulation concepts