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controlling binder placement inside a granular packing: coating grains before compaction requires extensive mixing, while saturating then desaturating is binder-intensive and hard to control. Binding foams
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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patterns and assess real-world effectiveness and safety outcomes, including survival, relapse, infection, and adverse events. Machine learning methods will be applied for risk prediction, signal detection
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for a talented and motivated postdoctoral fellow to join the Genome Re-InnovaTion Lab (https://grit-lab.org), part of the Synthetic Biology Translational Research Programme at the National University
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opportunity to develop a computational theoretical framework for predicting CIB fluctuations as a function of cosmological parameters. The candidate will work with time-ordered data from each of the above
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. Machine learning methods will be applied for risk prediction, signal detection, and causal analyses, generating robust evidence to inform clinical practice and regulatory decision-making. A key objective is
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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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analysis tools such as Curie and/or ROOT Experience with using nuclear-reaction codes which are commonly used to predict the reaction cross sections for medical isotope production, e.g. TALYS, TENDL, CoH