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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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defects, are currently a major limiting factor for metal printing. In nanomedicine, various nanoparticles are used for controlled drug delivery and therapies, and laser-excited nanobubble-inducing shockwave
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rapidly-updated archives of key weather observations; develop procedures for quality controlling these data archives; develop procedures for blending and interpolating in situ observations with remotely
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity
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and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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governance framework, including internal controls, fiscal policies, delegations, and cost recovery methodologies. Design and oversee the College’s budget structures and cost‑recovery approaches, ensuring
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher with strong expertise in fault detection, diagnostics (FDD), and preventative/predictive maintenance
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without shortages. The project will explore the use of historical demand and supply data, along with auxiliary information, within a Predict-then-Optimize (PtO) framework. This PtO framework will leverage