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to manage risk by ensuring security of industrial sites, sufficient utilities, materials, hazardous materials, waste, hazardous waste, environmental permits and Environment, Safety, and Occupational Health
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on security and privacy in Telepresence Systems, including VR, MR, and XR technologies. This project focuses on integrating sensor data authenticate users and verify the authenticity of surrounding information
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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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2026. Awards for the 2026 intake will be finalised by July 2026. Supported Areas for START Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security
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Application Areas of Interest: Cyber-Human-Physical Systems: Human-System Interaction, Human-Centered Planning and Design. Smart, Connected, & Healthy Communities: Smart Integrative Energy Systems, Smart
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the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent competitive Edge AI functionalities
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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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processors. Enabling safe, secure and real-time automotive functionalities in the RISC-V world, RIGOLETTO will establish the foundation for a next-generation Automotive Computing Platform based on the open
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contact information of two potential references to jeremie.barral@pasteur.fr . Funding Funding is secured for both the equipment required for the project and the salary of the postdoc through
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. Work with T&D software (e.g., OpenDSS, PSS/E) to gather data, run simulations, and assess grid-wide impacts. Additionally, candidates will: Collaborate with multidisciplinary teams to develop innovative