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- Planeamento de tratamento biológico robusto do cancro pancreático em radioterapia”, “2024.14662.PEX”, “DOI: https://doi.org/10.54499/2024.14662.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 3 months ago
fellowship is part of, focuses on the development of combinatory strategies using stem cells secretome and biomaterials for spinal cord injury regeneration. In this context, the work plan includes
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to develop sustainable solutions for technological greenhouses and vertical horticulture systems, including biotechnologies and clean energy sources. Using innovative technologies, it seeks to optimize energy
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which the grant is assigned, working within research projects. In particular, the research fellow will work within the field of optimization of transportation routes, intelligent transport and optimal
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
optimized design approaches. Run high-fidelity micromechanical simulations (finite element) to obtain the homogenised properties of a composite (ply-level) Use Convolutional Neural Networks (CNNs) to obtain
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manufacturing Optimization of parameters for additive manufacturing of polymers Expansion of the model to other materials, such as cement and ceramics. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be
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with the provisions of Decree-Law no. 66/2018 of 16th August, and all formalities established therein must be complied with at the signature of Fellowship contract. Working plan: Optimization
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organisms (zebrafish); 2) Establish the 6-OHDA-induced Parkinson's model in Danio rerio, optimizing concentration and exposure time; 3) To evaluate the neuroprotective effect of selected marine compounds
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the award of one Research Grant within the scope of the project POOLWISE – 18327 – Salt Water Pool Optimization with Integrated Sustainable Elements, funded by COMPETE2030-FEDER-01456000, under the following
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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio