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, you will play a central role in developing and validating a novel control strategy for bionic limbs based on real-time ultrasound imaging. Your key responsibilities will include: Designing and
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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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collaborative mindset and bring the following qualifications: - a PhD degree in mathematics, with a focus on algebraic geometry; - experience with at least some of the following: Fourier—Mukai transforms
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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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collaborative mindset and bring the following qualifications: a PhD degree in mathematics, with a focus on algebraic geometry; experience with at least some of the following: Fourier—Mukai transforms, Hochschild
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Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a
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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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pipeline; build a prototype system that supports interactive workflow synthesis and question answering; collaborate with a technical assistant and two PhD candidates working on geodata/workflow modelling and
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of Twente, is looking for an experienced and motivated postdoc in the field of computational mechanics, skilled in programming and image segmentation. The project is related to multiscale modeling
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infrastructure for species identification and monitoring (for example in the ARISE and DiSSCo projects). We run nature identification services processing many millions of images/month for users including