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scientific practices, considered most relevant by the candidate. 6 — Curricular Evaluation. This component of the evaluation is expressed on a numerical scale from 0 to 20 taking into account the following
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the strengths and weaknesses of different solutions; 2. Integrate sensors to monitor important parameters in real time, enabling predictive rather than reactive control and preventing component failure; 3
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Doped with Rare Earths and Mid-Infrared Emission (ChalcoMeth Sensors), supported by the COMPETE2030 Operational Program budget – FEDER-00762200, in its FEDER/FNR component, and the Foundation for Science
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. This component of the evaluation is expressed on a numerical scale from 0 to 20 taking into account the following criteria: 6.1 — Curricular evaluation criteria are: 6.1.1 - Criteria for the evaluation
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weaknesses of different solutions. 2. Propose and design a new solution for cooling the controller, lowering the temperature of this component and increasing thermal uniformity. 3. Integrate sensors to monitor
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of Deep-Sea Mining Impacts on Benthic Biodiversity”, supported by the Operational Program COMPETE 2030, in its FEDER/FNR component, project COMPETE2030-FEDER-00882600 (Foundation for Science and Technology
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topics within the Work Package 1 (Open Data Collaboration Platform), contributing to the structuring, analysis and effective use of data. Finally, the dissemination and reporting of results will be
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provide a form of name identification for the search; h) Any other elements that the candidate considers relevant to the assessment of their merit. 3.2 -The application form, which must be used, and
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identification for the search; h) Any other elements that the candidate considers relevant to the assessment of their merit. 3.2 -The application form, which must be used, and available at https://www.ua.pt/file
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prediction algorithms, accommodating the characteristics and specificities of the data collected for analysis in the NEXUS project; (c) developing plugins and/or computational packages that implement