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Field
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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real‑time anonymization in practice. The researcher will develop hardware‑aware neural architectures with hardware-in-the-loop optimization and efficient inference strategies to meet the computational
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architecture to code generation, testing, deployment, and maintenance Participation in a major national research project involving leading academic and industrial partners The opportunity to contribute your own
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tools for assessing material lifetime and performance, in connection with the data architectures developed within the REFFRACTEUR project. All modelling developments will be implemented in the open-source
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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
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architecture (meta)materials for medical soft robotics applications. Furthermore, the morphology, microstructure, and mechanical behaviour of the metamaterials for soft robotics applications will be
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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activity, while manipulation of voltage, clock, or electromagnetic conditions can cause security mechanisms to behave in unintended ways. At the same time, modern embedded architectures increasingly
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TU Delft (the Architecture Department) we will establish the knowledge and tools to improve the effectiveness of chemical damp proofing interventions and significantly reduce the estimated €19 million