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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
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following topics: Hydraulic and pneumatic applications Machine components (e.g. bearings, actuators, sensors) Power trains (e.g. electro-mechanical, electro-hydraulic, hydraulic) Industrial machinery Your
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