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tasks focusing on the development of physical and computational models of a scaffold with an electroconductive gradient. Task 1. Optimization of the design of a bimaterial scaffold with a conductive part
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practice – 0 points. c)Specific knowledge (CE): knowledge of the preparation and optimization of mixtures of metal powders with polymeric materials; knowledge of additive manufacturing; knowledge
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of UAlg's Open Science policy; Collaborating with the UAlg community to optimize the use of institutional, national, and thematic repositories. Applicable legislation and regulations: Statute
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related to the extraction of textile dyes and Aqueous Biphasic Systems, scientific management, and dissemination of results. 2 - Design, optimization, and testing of technologies for the extraction and
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the development, optimization and/or simulation of sustainable and circular processes for obtaining biomolecules from biomass and/or textile processing. Preferred requirements: - Laboratory and analytical knowledge
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resilience to hydro-climatic extremes—both floods and droughts—by spatially optimizing a set of adaptation measures in the landscape. The knowledge gaps addressed by LandEX include: (i) how different Nature
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(https://doi.org/10.1021/jp512349r ), which links crystalline structures of organic materials to their lattice energies. (ii) Developing and optimizing an initial version of the EVOFF program to establish
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. OBJECTIVES: The candidates will be involved in the development and optimization of spectral imaging systems, as well as in the development of automation tools and spectral signal analysis. 3. BRIEF
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optimization using augmented reality strategies.; The work to be developed involves analyzing the data obtained by the system, and integrating the information into the control interface, providing the user with
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EVALUATION CRITERIA The selection will be based on the following criteria: Academic record – 40% Past Experience in algorithm optimization - 30% Past Experience in research and industrial projects – 30% Each