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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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350 staff and students, the ORC is an internationally recognised hub for cutting-edge research, delivering real-world impact across photonics, manufacturing, communication technologies, augmented
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solutions with the needs of the new industrial scenario, giving process control systems based on Artificial Intelligence (AI) and Augmented Reality (AR) a central role in: (i) optimising production chain
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, coverage), publish at top-tier AI/ML venues, and contribute high-quality research code. Application deadline: 30th January 2026 Where to apply Website https://careers.werecruit.io/fr/idiap/offres
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR
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integrate immersive virtual and augmented reality (VR/AR) platforms and synchronized wearable technology systems for neuroscience and health-related research. This role focuses on building the software
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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international reputation in design education by creating a specific focus on emerging areas such service design, design strategy, virtual and augmented reality and AI. It comprises approximately 120 academic and
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(COR Code 211306) Within the Project: Biopolymeric Microcapsules with Probiotics – Augmentation Vectors for Biologically Active Food Products (MicroCAPS) Funding Contract No. 52TE / 08.01.2025 Position
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adaptation across operating regimes, and physics-guided ML. State estimation and soft sensing: real-time estimation using Kalman-filter variants (EKF/UKF/augmented KF), probabilistic inference, and multi