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for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, quality control, and prediction systems. Further research areas include precision farming, robotics, metrology, cultural
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safety properties of perception systems that encompass learning-based models. Develop methods and tools for automatic/procedural generation of relevant operational conditions Inform and educate
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benefit from knowing the wind field ahead to model aerodynamic forces correctly. However, building robust perception systems that can efficiently adapt in a self-supervised manner to novel environments
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-precision 3D sensing; event-based vision for low-latency, high-dynamic-range perception with reduced data rates; RF sensing and localisation, spanning radar-style observables and passive RF localisation using
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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modelling, and AI-based biological modelling and genomics, including internationally leading groups in this field. Read more about staff benefits and life as an SLU employee on https://www.slu.se/en/about-slu
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human perception of real and simulated environments, with particular focus on driving activities, from a psycho-physiological perspective, in order to subsequently identify neurophysiological biomarkers
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joint appointment procedure in accordance with the Jülich model: W3 Professor of ‘Integrative Neurobiology’ (m/f/d) with simultaneous appointment as Head of a Research Group on ‘Integrative Neurobiology
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framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and quantitative shape
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perception olfactive et les comportements sociaux associés chez les mammifères, en mettant l'accent sur les contextes saisonniers et reproductifs. Si l'on sait que les hormones influencent profondément la