51 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions in Luxembourg
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peristaltic vasculature that can remove the growth limits of lab-grown organs, or smart threads that give doctors critical feedback on suture tension when conducting robotic surgery. The PhD candidate will
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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as a PhD thesis in accordance with the regulations of the University of Luxembourg.Three secondments are foreseen within the framework of this position, and each one with a duration of approx. 2-3
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) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts. This fully funded PhD position
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: Socio-spatial implications of transformative practices”) is a Doctoral Network funded by Marie Skłodowska-Curie Actions (Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative
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through accidental faults and targeted cyberattacks and how large scale constellations can achieve the same properties to protect for example, our energy grid. This position is initially funded for three
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(e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website
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to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred
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on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches. For a collaborative project within the Institute