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the following: a) Curriculum evaluation and its suitability for the job in question (60%); b) Experience in chromatographic analysis techniques (20%); c) Experience in nutritional, chemical and bioactivity
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
the area of programming in python, or microscopy analysis or related fields. Work plan The selected fellow will join the project as a researcher and perform the following tasks under the scientific guidance
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: Research experience, with an emphasis on socio-territorial studies and the use of quantitative and qualitative methods, as well as the use of computer applications for qualitative processing and analysis
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laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence; Participation in the development of a web platform; Creation of documentation and dissemination of results
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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on the application of the analyzed technologies; 4) Collaboration in writing scientific articles and technical reports; 4. Objectives: Analysis of existing hardware and software on the market, within the scope
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methods to be used will be the following: curricular evaluation, in which the following will be considered: (i) the final grade obtained in the Master’s degree; and (ii) the curriculum analysis and the
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. Participation in project meetings, particularly those associated with the development of the aforementioned tasks. Data management and analysis. Dissemination of results. Interaction with the other members
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Sciences, Material Sciences, Chemical Engineering, or similar, enrolled in doctoral programe or a non-degree-granting course in scientific research, statistical analysis or similar. I.II - The non-degree
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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, operation code COMPETE2030-FEDER-00796500