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Field
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experience in the following areas: Development and application of Artificial Intelligence to complex problems; Autonomous systems and robotics, including drones applied to urban mobility; Data analysis
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laboratory experience in areas relevant to the project, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models
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; - Immobilization and/or development of bacterial cell containment systems; - Preparation of technosols using mining waste; - Scale-up trials. V - Initial grant duration: 12 months V.I - Renewal Possibility
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to generative models, and fairness in generative systems. 2. Design and Development: Develop evolutionary representations and operators for exploring latent spaces of generative models, focusing on the discovery
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of sol-gel polymers, in the development of formulations, in the fabrication of functional textiles by dyeing and/or coating processes, in the characterization of (nano)materials and textiles, and in
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perspectives. Preferred Factors: Will be considered preferred factors: a) Experience in the valorization of insect-based or agro-food by-products for the development of functional ingredients. b) Previous
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experience in cosmetic formulation and product development, including emulsions, oleogels, or incorporation of bioactive ingredients. c) Previous participation in applied research projects and/or experience in
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for Innovation and Development of FCT; Regulation of Research Grants of the Fundação para a Ciência e Tecnologia, I.P. in force (https://former.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019DR.pdf ); Where
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
the development of R&D activities by Master´s enrolled in non-academic degree courses integrated into the educational project of a higher education institution, within the project “BIOLUMINTRACKAF
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or related fields. Experience in research or relevant activities in the project area, such as data analysis, statistical modelling, or software development. Good knowledge of statistical programming