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, and pharmaceutical discovery. The QUBIC consortium will deliver disruptive innovations across three core quantum domains: * Development of quantum algorithms to solve specific industry
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
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to enable drug discovery applications”. Are you interested in mapping the binding sites of the human proteome and developing new pharmacophore software to screen against the sites to identify novel bioactive
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. The QUBIC consortium will deliver disruptive innovations across three core quantum domains: Development of quantum algorithms to solve current industry-specific challenges. Advancement of quantum processors
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-enabled adaptation. The aim is to develop theoretically grounded yet practically deployable algorithms that allow multi-agent robotics to operate robustly in dynamic, uncertain, and interactive environments
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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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communications signals. The objective of QUESTING is to develop new methods for quantum networking, fault-tolerant design and resource-efficient hybrid systems by training new generations of Q-System Innovators
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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Agriculture” is a project funded under the action HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network. GreenFieldData will train a new generation of researchers able to tackle digital and green