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Project Title: Computer Vision Applied to Swine Production and Processing Context: Computer vision and artificial intelligence (AI) are revolutionizing many sectors: healthcare, transportation
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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) Country Germany Application Deadline 5 Oct 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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communication and academic writing skills in English Specific Requirements Strong programming skills (Python, C++) Solid background in ML/DL libraries (e.g., PyTorch, TensorFlow) Knowledge of computer vision
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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.