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for PhD students. You must contribute to teaching at the Institute. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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scientific journals. Providing advice to the Danish authorities and stakeholders based on scientific results. Teaching and supervision of BSc and MSc student projects and co-supervisor for PhD students. You
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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the environment (mobile EEG and VR). The PhD student is welcome to work on one (or more) of the three aspects of the research programme, and I am open to discussing PhD student interests related to these research
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control JUNIOR RESEARCHER – Responsibilities Participate in R&D tasks across ongoing projects Support experimental
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Large vision-language models (LVLMs) can describe driving scenes and support decisions [Li25], but
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18 Dec 2025 Job Information Organisation/Company Fundació per a la Universitat Oberta de Catalunya Research Field Computer science Technology » Telecommunications technology Engineering Researcher
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 5 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 5 Dec
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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