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Field
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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11 Aug 2026 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Researcher Profile
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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ARIA project Enforcing Safety in Cyber-Physical Systems via Proof Certificates, and focus on the design, development, and application of Safe RL algorithms as well as their verification via Proof
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Researcher, Brain-Computer Interfaces Career Progression Track P00 Track Level P4 - Advanced, P3 - Career, P2 - Developing FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40
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excellence and on-time completion of all project tasks Develop and deliver clear updates on program status to Fleet-level personnel at both individual and community meetings Interact and collaborate regularly
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excellence and on-time completion of all project tasks Develop and deliver clear updates on program status to Fleet-level personnel at both individual and community meetings Interact and collaborate regularly
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, and tune algorithms and software developments within high-performance computing (HPC) environments. Collaborate actively in a multidisciplinary team environment comprising scientists from energy
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human-centred embodied AI New methods for modelling human behaviour and interaction dynamics Multimodal temporal and predictive learning algorithms Experimental evaluation against strong contemporary
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 12 hours ago
: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including