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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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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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) Analysis of the requirements of the case study related to olive production. ii) Conducting a literature review on digital technologies and maturity analysis models for solutions aligned with precision
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/valorization processes. Participation in project meetings, particularly those associated with the development of the aforementioned tasks. Data management and analysis. Dissemination of results. Interaction with
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
vitro cell culture; (v) Advanced knowledge in data analysis/ bioinformatics; (vi) Proficiency in spoken and written English, as well as good interpersonal skills in the context of a
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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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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
and statistical analysis of collected data; f) f) Writing and submission of scientific article in English. Place of work The work will be carried out at the facilities of the Faculdade de Ciências
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the intervention implementation, in vivo behavioral and functional assessments, and biological tissue collection. In addition, the selected candidate will contribute to the integrated analysis of plasma and brain
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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
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-quality validation module based on optical detection and light-profile analysis. The candidate will define quality metrics, implement monitoring systems using cameras and sensors, and develop computer