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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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email. Screening is part of the selection procedure. About the department Chair of Neuromuscular Robotics You will be working within our academic Chair, where we interface robotic technologies with
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs