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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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using functional 2D materials. • Organic synthesis and typical characterization methods, as NMR, FTIR, MS, EA, UV-vis and fluorescence spectroscopy. • Methods for 2D materials processing and
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing
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of a tokamak device. Focus on the description of processes such as plasma sourcing, wall recycling, and transport losses. Apply these models to solve problems related to plasma detachment and the
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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Europe | about 1 month ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device