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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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learning methods and statistical analysis, to effectively exploit data collected from sensors and acquisition systems. Particular attention is devoted to algorithm robustness, uncertainty management, and
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in Snowflake, DBT, or similar tools to prepare clean, reliable, analytics-ready datasets. Create reusable data models (views, marts, semantic layers) aligned to governance and data product standards
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Applications: Preferred Additional Knowledge, Skills and Abilities: Laboratory supervisory experience, experimental design and data analysis experience, manuscript and grant writing Email to a Friend https
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Bianculli, and will report to Prof. Fabrizio Pastore (principal investigator for MORTAL). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both
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computer program to replace the DNA Sequence Analysis Program (DSAP) that is used by participants in the Waksman Student Scholars Program (WSSP). DSAP is an on-line program used by high school students in the WSSP
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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to improving the reliability and performance of spatial turbo-pumps. To investigate the fundamental mechanisms of these instabilities, a simplified ABS test bench was set up at IRPHE [1]. In this setup
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efficiency across teams—while ensuring systems are robust, reliable, and secure. Essential Functions Perform security assessments and penetration tests on web applications, APIs, and internal tools used
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Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD project will develop a methodological framework for reliability-based structural