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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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by the Italian Space Agency (ASI), and aims to support the development and conceptual analysis of the primary system and the energy conversion system of a nuclear reactor designed to power a lunar base
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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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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable
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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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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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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