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Field
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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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We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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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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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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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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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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is embedded in a broader research agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures