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or more (computer based test 213, internet based 79) Cambridge/Oxford - Advanced or Proficiency level Selection The selection among the eligible candidates will be based on their capacity to benefit from
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none of the sections scoring less than 5.0) TOEFL score of 550 or more (computer based test 213, internet based 79) Cambridge/Oxford - Advanced or Proficiency level Selection The selection among
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of 550 or more (computer based test 213, internet based 79) Cambridge/Oxford - Advanced or Proficiency level Selection The selection among the eligible candidates will be based on their capacity to benefit
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or more (computer based test 213, internet based 79) Cambridge/Oxford - Advanced or Proficiency level Selection The selection among the eligible candidates will be based on their capacity to benefit from
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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departmental duties, up to a maximum of 20% of full-time. Your qualifications We are searching for someone with a Master’s degree in computer science, media technology, computer engineering, human-computer/robot