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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.) Work with structured and
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abilities to work on a new exciting research programme. The Leverhulme Trust have funded a 3 year project at Cardiff University to enable automated determination of the 3D atomic structure of metal
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Community Safety, go to: https://www.saskatchewan.ca/government/government-structure/ministries/corrections-policing-and-public-safety We are committed to workplace diversity. Hours of Work: B - SGEU Field
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) Structure formation of the Universe and evolution of clusters of galaxies; (2) Circulation history of baryonic matter in the Universe; (3) Transport and circulation of energy in the Universe; (4) New science
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data is used to estimate vegetation 3D structure parameters such as height. The radar data (Interferometric Synthetic Aperture Radar or inSAR) was collected by spaceborne ALOS/PALSAR and airborne UAVSAR
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conference presentations. Leading Benefits: Receive a sector-leading salary and 41 days of annual leave. Career Structure: This 36-month post provides dedicated support to develop independent research ideas
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as bow and limb shocks, pickup ion acceleration, the growth of various wave modes in the mass loaded solar wind, cometary ray structures, ionosheath plasma depletion layers, drift mirror waves
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nuclei, gamma-ray bursts, pulsars, and structure formation shocks, as well as calculating fluxes of gamma rays, neutrinos, and cosmic rays from models of the annihilation or decay of dark matter. The fate
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. Description: This opportunity encompasses any atmospheric dynamics or structure research using imaging data from the Hubble Space Telescope Outer Planet Atmospheres Legacy (OPAL) program. The dataset consists