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Solution to Improve Care and Optimize Resources for Frequent Emergency Users”, (ref.ª 2024.07543.IACDC, financed by "RE-C05-i08.m04 – "Support the launch of a program of R&D projects aimed at the development
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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purification of high addedvalue compounds; 2) study of the bioactive properties of plant matrices; 3) development of products for the pharmaceutical food sector on a laboratory scale; 4) dissemination
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mineral deposits) Preferential factors: (1) Knowledge of geochemistry, in particular, major elements and potentially toxic elements in different geological materials, (2) Analytical experience in
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and multicultural teams; - good interpersonal relations and teamwork skills. 3. Work plan: The selected candidate will participate in different tasks of the project “Dropin@ IPB2.0 - Pathways
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fulfilled until the time of signing the contract. Activity Outline: The recruitment of this research position aims at the development of R&D work for the development of “Combustion in Internal Combustion
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be involved in several different activities in project EquiVet.AI, including: - Development of a comprehensive AI-based diagnostic system for allergic diseases in horses (with respiratory and/or dermal
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/coordination of the grant: André Filipe Gomes Pereira IV - Work Plan / Goals to be achieved: The aim of the fellowship is to develop research work within the framework of the above-mentioned project. The
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differences in the development of brain-barrier interfaces, which are crucial for brain immune surveillance, in order to better understand the etiology of neonatal sepsis and the higher susceptibility to brain