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project with the aim of: To optimize tools that perform a robust evaluation of radiation therapy plans and to optimize tools that allow the automation of the robust optimization procedure for the worst-case
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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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the CV and/or in the motivation letter. Additional optional skills and qualifications: Previous experience in physical and biological inverse optimization of intensity-modulated radiotherapy treatment
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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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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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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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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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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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, 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