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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 2 days ago
microscopy. Quantitative image analysis to assess microglial localization, morphology, and density, as well as structural changes in the retina in retinal disease models. Statistical data analysis. Place of
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structured pursuant to sections 9 and 11. *- The administrative verification of the recognition of the degrees obtained abroad will be fulfilled for the purpose of contracting, in case of approval
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construction materials with a low carbon footprint, focusing on the valorisation of industrial residues and the development of technologies for CO2 capture and mineralisation in construction materials
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tools based on Orthogonal Defect Classification (ODC), enabling structured analysis and categorization of vulnerabilities affecting CI platforms. T3 - Apply LLMs with prompt engineering techniques
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the support of the FCT. The publication rules are available on the FCT website, as well as on the websites of the funding Operational Programs, if applicable. The use of the FCT logo available at http
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2030), taking place at the RISE-Health, Faculdade de Ciências da Saúde, of the University of Beira Interior (https://www.ubi.pt/Sites/fcsaude/pt/Pagina/investigacao ), under the following conditions
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. • Experience in assembling, adapting and maintaining experimental devices, sensors, chambers, field structures or other environmental monitoring equipment. • Good organizational skills, autonomy and problem
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– “The Phosphatase PtpA as a Suitable target to Fight Tuberculosis – A Structure-based Drug Design Approach”, (ref. 2024.15885.PEX), funded by the Foundation for Science and Technology, I.P./MCTES through national
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: Develop fabrication routines of photonic structures in different materials (e.g., Silicon, Gallium Arsenide, Indium Phosphide). Short-loop optimisation of multiple and diverse recipes on demand
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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the