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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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Luxembourg) Guidance of a team of student assistants Conceptualizing and implementing behavioral analyses of video-recorded parent-child interactions (e.g., development of coding manuals, training and
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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Conceptualizing and implementing behavioral analyses of video-recorded parent-child interactions (e.g., development of coding manuals, training and supervision of coders) Collaboration in an international team
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comprehensive suite of software tools for developing and deploying online studies as well as collecting and processing the resulting datasets. These tools include video games, a modular online survey platform, a
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(cumulative; i.e. based on peer-reviewed publications) Conduct an in-depth literature review to support the research plan Coordinate the organization of data-sets, including video data collection and management
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disturbances on OFR using visual media (e.g., photos, videos). The supply and demand of OFR will be assessed via a spatial analysis to identify recreational hotspots and inform forest management of them. Finally
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machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common
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EdisonL-1445 StrassenLuxembourg Postal Code 1445 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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and image analysis (MATLAB or Python), machine learning techniques, and basic programming/coding will be a plus. Fluency in English is mandatory. Willingness to work in an inter-cultural and