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methods, including spectroscopic studies of the polymer composition and morphology of microplastics. Statistical analysis and risk assessment methodologies will be applied to the obtained quantitative data
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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their chemical structure and composition through structure–processing–property correlation analysis and model-based optimization of processing parameters. Leveraging these methods, we will demonstrate
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: Master's degree in Psychology, specializing in the field of Neurobiopsychology, including: a) good knowledge of brain function in structural and functional terms; b) knowledge of the physiology
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fundamental insight into the structure-composition-function correlations that govern the performance of heterogeneous catalysts in reactions relevant to the Cyclic Carbon Economy: CO2 hydrogenation with green
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final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Catarina Helena Branco Simões da Silva Effective Members: Alberto
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) to further knowledge and practice within the field of durability of construction, to integrate Nature based Solutions into grey infrastructure to strengthen resilience in Mediterranean climate hot spots. LJMU
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structure–function relationships of transporter proteins. Applicable legislation and regulations: Research Fellow Statute (EBI), approved by Law nº. 40/2004 of August 18, in its current wording and FCT
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of the synthetic routes for the obtention of the target families of amino acid-based surfactants. Synthesis, purification and structural elucidation of the compounds. Applicable Legislation: Law nº.40/2004, 18th
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
simulations with data-driven machine learning approaches. By incorporating PINNs and vPINNs, the aim is to create robust numerical tools capable of simulating and predicting structural phenomena under different