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About the project: SEGregation of residual eleMENTs at austenite grain boundaries in recycled steels (SEGMENT) Supervisor: Dr Michael Auinger, University of Warwick Steel recycling is a key strategy
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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MATOPIBA require balancing agricultural production with biodiversity conservation and social justice, while also accounting for effects of climate change. In this position, you will contribute to such land
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to travel Working conditions: Full-time employment contract (37.5H per week). Contract duration: 4 years (starting from Oct 2026) Work-life balance measures: IMDEA Nanociencia has implemented a Gender
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
will accompany your doctoral studies with continuous, expert guidance from your academic supervisor Work-life balance: We offer flexible working hours to help you balance your professional and personal
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or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark datasets and an
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ongoing work to advance gender equality both within Trinity and across the higher education sector. Trinity is committed to supporting work–life balance and creating a family-friendly working environment.
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and diversity balance across the School and welcome applicants from all backgrounds. The School holds an Athena SWAN Bronze Award, which recognises its work in promoting women’s careers in science
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Silver award, recognising our ongoing work to advance gender equality both within Trinity and in the Higher Education sector. Trinity is committed to supporting work-life balance and to creating a family
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states and ageing mechanisms. Emphasis will be placed on balancing model fidelity, computational efficiency, and robustness under varying operating conditions. The outcomes will support next-generation BMS