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to help define the architecture, interfaces and future direction of our software rather than simply contribute to a predefined codebase. We are particularly interested in exploring how AI-assisted and
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and bottlenecks, as well as communication requirements. Develop and evaluate quantum computing hardware and software architectures that benefit from the idea of modular, interconnected and possibly
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neural networks (GNNs), transformer architectures, foundation models, and large language models (LLMs). Experience developing reproducible biomedical software and AI workflows. Demonstrated success
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underlying digital dependencies unaddressed. Even with clear legal frameworks, the dependencies that Norwegian organizations develop on global platform companies, cloud providers, and proprietary software
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): the doctoral candidate will work to SAFRAN's site in Colombes (France). Objectives This PhD project aims to investigate the influence of ceramic shell microstructure and cluster architecture on the thermal shock
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How do construction firms turn software into measurable business value? This PhD
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
benefit from the hardware and software resources of the lab experimental platform. The student will be supervisedthroughoutthePhD by Margot Vulliez and David Daney, researchers specializing in modeling and
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transformation leads seeking to make better decisions about construction software implementation. You will be based in the Department of Management in the Built Environment at the Faculty of Architecture and the
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark