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considered a strong advantage: Flexible production techniques such as additive manufacturing or etching Usage of commercial CFD software Generative design Adsorption processes Heat exchangers Coding in
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months, United States; co-supervisor Dr. Jennifer Garbarino), the candidate will receive training in spatial epigenomic assay development and DBiT-seq-based workflow optimisation. The resulting workflow
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integration models As a PhD researcher, you will: Support MRI and EEG data acquisition and optimise processing pipelines Manage, curate and integrate multimodal datasets (MRI, EEG, wearable sensors) Develop and
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design optimisation, control, data-assimilation, uncertainty quantification, and multi-fidelity approaches is encouraged. The candidate is expected to collaborate with international fusion initiatives