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especially for the growth of optimized devices. For these atomic structural characterizations, the laboratory has a latest-generation MET JEOL ARM200F Cold FEG corrected (Cs), equipped with ADF/ABF detectors
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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, functional, and molecular imaging data. This multimodal technology is optimized for preclinical research in oncology, neurobiology, embryology, and cardiology. Its non-invasive nature allows longitudinal
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
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to verify the operation of the algorithm. Optimize the memory usage of the algorithm and provide a memory consumption report. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for