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Field
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ranging from simulated environments (e.g., Web browsers, Videogames, etc.) to Robotics tasks. Candidate’s profile A good Bachelors degree (2.1 or above or international equivalent) and/or Masters degree in
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 19 days ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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emergency managers, robotics developers, and public authorities. Is tested and refined in close collaboration with stakeholders through simulation exercises, workshops, and field studies. The project builds a
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networks. Responsibilities and qualifications The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
physiological insect navigation data. Modeling navigation neural circuits. Close collaboration with robotics teams. Collaborating with other researchers on interdisciplinary research projects and publications
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reliably until an external change or internal aging cause them to fail once and for all. In this project, we will utilize a physical learning approach to imbue metamaterials and robots with intrinsic