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(CHF), tailored to complex geometries typical of fusion reactor cooling systems. Compile a comprehensive dataset of boiling parameters to support machine learning-based analysis of two-phase flow
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of turbulent flows, these are confined in two extreme and polar-opposite regimes: when turbulence is highly or when it is lowly strained. Still, the physics of the in-between regime of intermediate-strain, which
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into breakthroughs. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and 300-word statement explaining your motivation for applying to this PhD Studentship to: Supervisor Review Form
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/MSci or higher degree (or international equivalent) in: Engineering, Materials Science, or a closely related discipline. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a
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: Stage 1: Submit 2-page curriculum vitae (CV), transcripts and 300-word statement explaining your motivation for applying: Supervisor Review Form . Supervisors will perform a comprehensive review to long
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
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and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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++ programming and good communication skills. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation for applying to this PhD Studentship
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have completed or contributed to. If English is not your first language, certification of English language qualification. There will be a two-stage interview process. Key Dates: 06/11/25 Midnight (UK