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Field
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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passionate about building an entanglement-based quantum internet? In this PhD project, you will design an entanglement source, a routing architecture, protocols, and set up a testbed that distributes and
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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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sensors. The architecture integrates (i) an ultra-low form factor microfluidic separation module and (ii) a multi-modal SiC sensor for precise analyte identification. The seamless integration of a
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printable internal architectures, and we will experimentally test these new shape-changing materials (3D scanning, mechanical testing). https://blog.espci.fr/benoitroman/phd-position-depressure-activated-pro
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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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The Materials to Optoelectronic Devices (M2D) group ( https://www.m2ngroup.nl ) at the Eindhoven University of Technology (TU/e) is looking for a motivated PhD candidate to join an exciting research
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links with low intercept probability from advanced MIMO/beamforming solutions). contribute to the design of transceiver architectures in cross-disciplinary teams. lead and execute (funded) projects
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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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future energy applications. Rather than simply implementing existing data space reference architectures, you will develop novel methods, architectural patterns, and engineering approaches that enable