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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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to apply for the position of Post-doctoral Fellow. Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms
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Hyundai-NTU-A*STAR Corp Lab has a robotic pick and place project. We are seeking to hire a research associate to carry the computer vision part of the project. Responsibilities: Develop effective
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9 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Environmental science » Earth science Physics » Acoustics Physics
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE | Italy | 6 days ago
defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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: Equivalence checking of quantum circuits. This task will include the identification of suitable metrics for approximate equivalence and algorithms to efficiently compute approximation distances. A potential
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 60900-2026-001896 Is the Job related to staff position within a Research Infrastructure? No Offer
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories