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complex international supply chains where many business partners are located outside of the EU. This PhD research will explore how authorities can build upon these embedded controls by businesses
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relevant topic in machine learning, embedded systems, and edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
simulations and to predict communication patterns within macromolecular complexes. The project is embedded in a collaborative environment with regional and international partners, offering complementary
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus
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, and representation learning Developing embedding-based representations of clinical variables and documents to support semantic harmonisation and retrieval Designing and implementing Retrieval-Augmented
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profiling and proteomics, to identify key regulatory pathways. A strong translational dimension is embedded in the project. Building on robust preliminary data generated within the host laboratory
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Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
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world-class orthopaedic devices being used globally. Project outline PROFNUL 2 The successful candidates will be embedded into a randomised control trial investigating if there are differences in hip
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cryogenic facilities and the opportunity to work within major international research collaborations. CP3 is embedded in a vibrant and interdisciplinary research environment at SDU, with close ties to leading