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their goals. Our Mission and Vision Our Vision - TTI leads in the creation of knowledge that transforms transportation for the benefit of society. Our Mission - TTI delivers practical, innovative and
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Livable Urban Spaces” under the EU Driving Urban Transitions (DUT2024) program. The project is led by Eindhoven University of Technology (TU/e), has consortium partners from Austria, France, Switzerland
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Job Status Full-time Offer Starting Date 15 Jan 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-631 Is the Job related to staff
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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skills for this position are: o Good knowledge of the technological challenges of agricultural/viticultural robotics. o Proven skills in: vision-based robot modeling and control; computer vision and
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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and data structures for AI kernels; Scalable systems for machine learning (training, inference, edge); HW-SW co-design for computer vision on novel architectures; Desired skills Advanced knowledge in