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quantum computing technologies have the potential to further accelerate selected computational tasks. The successful candidate will contribute to the development of quantum computing based solutions for
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research
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design of hybrid electrical–optical computing architectures and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among
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neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Doctoral researcher in Engineering Science Employer
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of computing parameters, increasing the memory resources required for their acceleration as well as exacerbating the criticality of data movement within the system on both energy efficiency and
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; PyTorch; parallel and GPU computing Applicant Profile The internship is intended for a final-year Master’s student or engineering student specialising in applied mathematics, signal processing or
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the induction. Our Benefits for You Cutting-edge research : You will work on challenges at the intersection of IC design and quantum computing, helping to shape the next generation of quantum
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French National Institute for Health Research (INSERM) | Lille, Nord-Pas-de-Calais | France | 12 days ago
Energy Metabolism Employer French National Institute for Health Research (INSERM) Location Lille (Arrondissement), Nord (FR) Salary Salary will be determined according to the candidate’s profile and