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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
! More Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/doctoral-candidate-in-computer-vision-and-ma… Requirements Research
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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; however, we are particularly interested in the following areas: AI/Data Science/Controls in Biomedical Engineering/Biomanufacturing (brain-computer interface, computer vision, machine learning, digital
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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actuation for soft continuum robots Sensing and tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl
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list), copies of your academic diplomas and qualifications, a vision statement for your research group (1 page max.). Where to apply Website https://academicpositions.com/ad/empa/2025/2-tenure-track
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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and responsibilities. Our online and in-person classes span theory, systems, artificial intelligence, algorithms, databases, data analytics, natural language processing, computer vision, graphics
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the Faculty of Natural Sciences . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290101/phd-position-in-computati… Requirements Research FieldPhysicsEducation LevelMaster Degree
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(LLMs), Deep Learning, Explainable AI, Computer Vision, Knowledge Representation and reasoning, Generative AI for data synthesis and augmentation, Data Engineering, Big Data Analytics, Cloud Computing