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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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) modules into safety-critical embedded systems (autonomous vehicles, drones, industrial and medical devices) raises major safety and security concerns. These modules, often based on deep neural networks
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related to staff position within a Research Infrastructure? No Offer Description Your tasks: Development of methods for designing embedded systems based on large language models (LLMs) Investigation
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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ideal conditions for you to complete your doctoral degree: Outstanding research environment and infrastructure: The position is embedded at Forschungszentrum Jülich (FZJ), one of Europe’s largest
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seeking expressions of interest from highly motivated and talented individuals interested in pursuing a PhD in the broad domain of Embedded and Cyber-Physical Systems. About Us At the SoftCPS Laboratory, we
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). Motivation to pursue a doctoral degree and contribute to applied AI research. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job/Researcher-Embedded-Systems-57076/1278853401
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: The position is embedded at Forschungszentrum Jülich (FZJ), one of Europe’s largest interdisciplinary research centers, offering access to world-class computational resources (HPC), state-of-the-art research
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commitment to respect and fairness. If you share these values and are looking to grow in an open and diverse environment, ICN2 is ready to welcome you. Website for additional job details https://jobs.icn2.cat