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Field
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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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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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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as one PDF to the “other documents” selection in the application. 4. A personal research program vision statement detailing short-and long-term goals. The anticipated start date for this position is
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Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Solid State Physics, University of Latvia (ISSP UL
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 7 days 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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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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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control SENIOR RESEARCHER / LABORATORY LEADER – Responsibilities Lead one of the robotics laboratories (assignment
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infrastructures.The research of these PhD positions will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity