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, Applied Mathematics/Statistics, Robotics, Physics or related discipline, with an excellent academic record. Strong foundations in applied mathematics, computer vision and machine learning, particularly
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discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object detection, segmentation, and multi-object tracking in challenging conditions such
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academic record. Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and segmentation. Evidence of leading research
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/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object detection, segmentation, and multi
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, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit
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, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and
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of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position description: PD - Research Associate - School of Biological
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Linux and specialist bioinformatics software. Experience of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position