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to Lough Hyne, develop predictive and data-driven theoretical models for real ecosystems, and contribute to the design of novel restoration protocols and conservation measures. Please note that
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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Apply here: https://lanl.jobs/search/jobdetails/postdoctoral-research-associate-in-chemical-design-and-formulation-of-densified-fluids-for-superhot-geothermal-systems/cdacf5d2-0772-428c-bbbe
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project, including the host department, PhD programme, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian