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computer vision applied to healthcare; developed within ongoing projects and other future projects in related areas, as well as the pursuit of new funded projects and support for laboratory management at CIR
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both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h) of Article 9 of the Portuguese Constitution
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, 2nd Series, and on the website Bolsa de Emprego Público (Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal
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conditions: Scientific Area: Electrical Engineering, Electronics, and Computer Science Recipient category: Bachelor’s degree holders in Biomedical Engineering, Electronic Engineering, Computer Engineering
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, classification, and characterization of signals, with particular emphasis on low-amplitude transient signals and the robust estimation of their parameters. Applicable legislation and regulations: Research Fellow
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the objective of performing an efficient low amplitude signal extraction and characterisation. Following the current expertise within the research group, particular attention will be given to parameter estimation
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theoretical analysis and numerical simulations, drawing on tools from quantum parameter estimation and quantum information, to analyse quantum-enhanced temporal measurement protocols, quantify the precision
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on the website Bolsa de Emprego Público (Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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the abbreviations STW, PE, SS&TA, PT, PST&DSC are the classifications of the indicated parameters. The classification STW corresponds to the following ratings: 19 to 20 – Excellent; 17 to 18 – Very good; 14 to 16