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computer.
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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throughout the period of performing the project tasks, subject to the exceptions provided for in the NCN regulations; education or research experience in computer science, artificial intelligence, machine
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creating a process planning ontology that links machines, fixtures, parameters and constraints to support future automated planning and Digital Product Passport requirements. Using IIoT-enabled tracking and
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high-technology group operating in the aerospace, space, and defence sectors. The company designs, manufactures, and supports cutting-edge systems and equipment for civil and military applications. As
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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information exchange between operators, AI systems, and DPP infrastructures.A central research focus will be the exploration of dynamic and machine‑interpretable data formats that allow DWIs to be generated
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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and