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Field
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for mesoporous silica monoliths using photo-crosslinkable silica nanocage inks. The printing process, based on Digital Light Processing (DLP), uses UV light to polymerize the inks layer by layer
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source LNEC own revenue 5 – Scientific area Computer Engineering, Computer Science, Data science, Information systems or related areas 6 - Duration The Grant shall be awarded for a 12 month period 7
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simulations for composites. Sensor integration for real-time monitoring and predictive analytics. AI-driven digital tools for material optimization and certification processes. Collaborative work across
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thermoreflectance optical pump-probe thermal-property measurement methods, develop and refine instrumentation, optimize protocols, and provide thermal property data for thin-film and multilayer materials that can
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, determining the optimal Multiplicity of Infection (MOI) for bacterial suppression. Phase 5: Resistance Development and Long-Term Efficacy Objective: To monitor the emergence of Phage-Resistant Managed Bacteria
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 30 days ago
optimized design approaches. Run high-fidelity micromechanical simulations (finite element) to obtain the homogenised properties of a composite (ply-level) Use Convolutional Neural Networks (CNNs) to obtain
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the attribution of one Research Scholarship within the scope of the research project TRANSFACTORY Transporter proteins for the optimization of microbial cell factories, reference COMPETE2030-FEDER-00750700-16345