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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from
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technologies.” Within the Num’Agnel project, the Postdoctoral researcher will be responsible for developing and investigating innovative approaches for the detection of early signs of lambing using video data
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loading conditions, including compression–relaxation tests and cyclic loading–unloading. A first stage will focus on analyzing the relationship between the viscoelastic properties of the base polymer and
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compression Complete temporal and spectral characterization Optimization of performance parameters Setup and implementation of the pump line (THz) Share this opening! Use the following URL: https://jobs.icfo.eu
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-constrained platforms such as FPGAs, Raspberry Pi, or similar embedded hardware is essential. Familiarity with model compression, quantization, or hardware-aware AI optimization techniques is a strong advantage
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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characterization of plant fibers by using a robot with a small tip that can compress the plant fibers one by one. These works demonstrated the capability to efficiently generate experimental tests but, we now want
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-edge research in LLM. Responsibilities Develop high-efficiency, small-to-medium LLMs optimized for the edge through advanced compression, quantization, and distillation. These techniques empower resource
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. Other Information Want to learn more directly from people that work at the Bond Life Sciences Center? Check out our latest video highlighting the important work and experiences of our team: https