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technological innovation. Scientific area: Mechanical Engineering. Requirements: Holders of a Master's degree in Mechanical Engineering, with experience in: - 3D Modeling and Automatic Calculation of Mechanical
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to be integrated into water balance and crop growth models; Based on the database created, develop time series of essential agro-climatic indicators such as accumulated precipitation, reference
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candidate will carry out R&D activities within the scope of the 2022.06672.PTDC project, namely: 1) Review of the literature on complex viscoelasticity, anomalous diffusion, and nonlinear diffusion models and
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of their main targets in human cells; evaluation of their efficacy in tumor cell models; Applicable legislation and regulations: Law N.º 40/2004, of 18 August (Statute of Scientific Research Fellow), amended by
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(technical personnel and toilet users), implementing AI-driven data analytics for system optimization, and creating predictive models for environmental and social impact assessment. Students will work with
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project activities include formulating and fabricating functional sponges, optimizing the filtration process using modelling, conducting system characterisation and preparing research papers for publication
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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas