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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object
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foundations in applied mathematics, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research
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knowledge of computer applications used in mechanical engineering. Special Requirements Some afterhours work may be required in the case of critical incidents. Position description: PD Senior Technical
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. Experience of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position description: PD - Research Associate - School
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Solid Edge or SolidWorks; experience with EDM machining, seismic sensors, and system integration is desirable. Strong written and verbal communication skills, with excellent organisational abilities
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way of leading-edge teaching, learning, and research activities, spanning a broad range of disciplines. The University is presently seeking to appoint an appropriately qualified individual to the role
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knowledge and transforming lives by way of leading-edge teaching, learning, and research activities, spanning a broad range of disciplines. The University is currently inviting applications from suitably