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an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning
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of the state of the art in Human-in-the-Loop solutions in federated environments. 2) Development of a proposal with customized requirements for physical-emotional variables and ethical principles. 3) Development
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areas such as molecular biology and cell culture, contributing to research programs focused n the development of advanced therapies for rare and oncological diseases; Support in laboratory management and
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. VI.IV - Funding: The grant(s) assigned under this call will be funded by Foundation for Science and Technology through national funds and by the European Regional Development Fund (ERDF) through
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Curriculum Vitae shall be structured to separately respond to the different items listed below in IV.2. III.2.2. Career Development plan up to 10 pages, with formatting and font size that ensure adequate
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of liquid chromatography systems (FPLC), development and optimization of chromatographic methodologies for the purification of nucleic acids and delivery vectors, as well as experience working in GMP-like
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supervision/coordination of the grant: Jerôme Amaro Pires Mendes. IV - Work Plan / Goals to be achieved: To contribute within a research team to the design, conception, and development of management and
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Pires Mendes. IV - Work Plan / Goals to be achieved: Contribute within a research team for the design, conception and development of solutions for managing and optimizing industrial systems. The plan
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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium
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/ Goals to be achieved: The research grant aims to support the development of research work dedicated to understanding how the rise and decline of technological revolutions, as well as the emergence