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are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring its applicability to industrial processes
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only
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. Responsibilities and qualifications Your overall focus will be to build a digital twin model of urban surroundings based on large-scale image data that can be used for analysing how urban design influence mobility
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10 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Engineering Computer science Mathematics Researcher
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human robot interaction (e.g., sensory adaptive, child-led, reciprocal AI) Develop LLM-driven dialogue systems integrated into robotic and/or digital platforms Prototype and evaluate multimodal interfaces
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equivalent) in Media Studies, Digital Humanities, Visual Culture, Human-Computer Interaction (HCI), Cognitive Psychology (with a focus on perception or sensory studies), Immersive Media / Virtual Reality
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with UV and radioactive detector, dose calibrator, automatic gamma counter, digital autoradiography, animal blood cell counter, and a range of small animal imaging systems (bioluminescence/fluorescence
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new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
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electrode structures. • Prototyping of the identified structures via stereolithographic 3D printing and advanced textile techniques. • Development of advanced imaging and characterization technologies (X-ray
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, Diffusion Tensor Imaging (DTI), Ultrasound, muscle stimulation, electromyography (EMG), and motion capture. Conducting human anatomical specimen dissection studies to obtain in-vitro data for model