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for the development of innovative host-directed broad-spectrum antiviral therapeutics COMPETE2030-FEDER-00852800 under the following conditions: 1. Scientific Area: Biomedical Sciences. 2. Funding Source Foundation
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execution and natural language justification of automated decisions. Work plan: Phase 1: Data Preparation and Architecture (Preparation); Phase 2: Modeling and Algorithms (Analytical Development); Phase 3
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rare genetic variants. Development of a bioinformatic algorithm for variant interpretation. Validation of results in the clinical setting and development of a model report for communicating results
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rare genetic variants. Development of a bioinformatic algorithm for variant interpretation. Validation of results in the clinical setting and development of a model report for communicating results
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Objectives: Development and implementation of computer vision and active learning algorithms for sign languages, including (i) a pipeline for the ingestion and extraction of visual gesture features
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Development Fund (FEDER) and by the Innovation and Digital Transition thematic programme (COMPETE2030), under the following conditions: Scientific Area: Chemistry. Admission requirements: To hold a Master’s
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leading to the doctoral degree was carried out; c) The research activities do not require postdoctoral experience; d) The research activities have a time frame for development and implementation of three
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doctorate, with a view to consolidating their scientific training through the development of research work leading to the award of the respective academic degree, whether or not integrated into R&D projects
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of Industrial Biotechnology, within the scope of the project “GreenFerm Development of more sustainable algae products through more efficient heterotrophic cultivation”, ref. COMPETE2030-FEDER-02964700
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Development Incentives system (SIID), regulated by Ordinance No. 328 B/2023 of October 30, in its current version and under the terms of Notice MPr-2023-7 - SIID-R&D Empresarial - Co-promotion Operations