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Field
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engineering with strong background on: - Electronics (design and analysis); - Signal processing; - Telecommunications basics; - System theory. Selection process Selection criteria: - C1 (40%) Curricular
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Language Models (LLMs) applied to data extraction and assisted analysis; • Good documentation, testing, and security practices. Selection process The selection methods to be used are as follows: a) Quality
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requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area in Pharmaceutical Sciences, Pharmaceutical Biotechnology, Clinical Analysis; Chemical Engineering, Biomedical Engineering
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physics. Minimum profile: Knowledge of optoelectronic systems;, Experience in microcontroller programming and software development for analysis and control;, Knowledge of wireless communication protocols
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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) Conduct laboratory tests, organize and interpret the results obtained, complete test reports, and prepare analysis reports; 2) Monitor changes to the production process at the existing production plant at
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) Conducting laboratory tests, organizing and interpreting the results obtained, completing test reports, and preparing analysis reports. 2) Preparing research articles for publication in conferences and
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samples, physical-chemical analysis (pH, ºBrix, acidity, color, among other parameters), quantification of captan and its metabolites, as well as validation of the analytical method. Preparation and conduct
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) processing, analysis and interpretation of the structural monitoring results of historical built assets using artificial intelligence techniques; ii) development of structural digital twins of historical built
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, or similar, enrolled in a doctoral degree in areas related with the aim of this position such as scientific research, statistical analysis or similar. OR Master’s degree holders, in the scientific area of