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collaboration, LIST and an industrial partner are willing to develop innovative electroplated copper-based composites reinforced with metallic/ceramic and Carbon nanostructures. The aim is to significantly
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synthesizing thin-film composite (TFC) hollow fiber membranes Processing and modifying polymeric materials into the design of TFC hollow fiber membranes Characterizing polymeric TFC hollow fiber membranes
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
will be a preferential factor if the candidate demonstrates proven experience in discrete element modelling, particularly using YADE. Selection process Selection methods: The selection methods will be
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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project progress control ability, channel development and industry exhibition promotion ability Hard skills: 2 or more language skills, design software use and manufacturing processing ability Solid
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to pushing the boundaries of eDNA science through exploring eDNA enrichment, quantification and modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to
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(EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community
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, fluorescence, zeta potential); Formulation of liquid fertilizers with CDs; Bioimaging and agronomic efficiency assays using model plants; Preparation of reports and support in scientific dissemination
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: Implement discrete‑time fractional‑order state‑space models of anesthetic‑induced brain dynamics
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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part