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), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or
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of expensive evaluations required for prediction and optimization. A classical approach is co-Kriging (Kennedy--O'Hagan), which models the high-fidelity response through an autoregressive Gaussian process (GP
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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followed by high-speed sampling and digitization, all the while advanced digital signal processing (DSP) is applied both before transmission and after reception to mitigate most impairments. Coherent
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surface reconstruction and functionalization, enabling greener and more selective fluorination processes for industries such as batteries, pharmaceuticals, and agrochemicals. The scientific theme centers
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integration of a non-intrusive power consumption monitoring (NILM) technology into an existing industrial optimization system. More specifically, the missions consist of: Participate in algorithmic and
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environment, in order to optimize processes and improve their control. The recruited postdoctoral researcher will split their time between IEM (Montpellier) and the MSSA industrial site. Their missions will
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to apply. Interest in developing optimization-based methods and experience with Matlab are also valued. Specific Requirements Recruitment process Interested candidates are warmly invited to send an e-mail
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30 kHz by a burst laser source combined to two Optical Parametric Oscillators (OPOs) [7] applied on H2/air flame. The optimization of OH and NO excitation strategies and the quantification