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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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manufacturing tolerances, alignment errors, and material variability. To achieve robust designs, existing inverse design methods must be extended to systematically account for these uncertainties. The design
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This PhD project focuses on the quantitative investigation of Coulomb phases in artificial spin ice materials. The selected candidate will explore the dynamics and thermal fluctuations of magnetic
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materials and deliver quantitative methods, prevention-intervention science and subject-specific practitioner-focused training and capability building Assist with the drafting of blogs and other non-technical
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the UK, EU, or US. Candidates should specify in their application materials which of the two projects they are most interested in working on. About you You are working toward a doctorate in a social
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equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin
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ultrastructural assays to assess: Oxidative stress and mitochondrial function Lysosomal/autophagy flux and waste disposal Inflammatory signalling and complement activation Cell survival, death pathways, and barrier
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applied research in the domains of food and biobased materials. Where to apply Website https://www.academictransfer.com/en/jobs/364061/machine-learningai-researcher-a… Requirements Specific Requirements You
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experiments and analyse interview, survey and classroom data, as well as curricula and language teaching/learning materials. WP4 will produce guidelines for students, teachers, teacher trainers and decision
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from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section