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Stage(s) assessed at A strong STEM degree (e.g., engineering, physics, chemistry, materials science, computer science, mathematics) or equivalent experience demonstrating a robust understanding of
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glioblastoma (GBM) patient-derived tumour models using an engineered extracellular matrix (ECM) tissue mimic hydrogel system and HTP 3D bioprinting. Gene expression analysis from a GBM patient cohort will be
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programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking
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We are seeking a Programme Manager to lead partnership projects within the Sussex Learning Network (SLN), supporting learners, particularly those from underrepresented backgrounds, to progress
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold a PhD in biomedical/biochemical engineering or a related area Essential Application
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We are seeking a Grade 6 Computational Biology Data Analyst to join the Computational Biology Facility at the University of Liverpool. The role involves analysing biological and omics datasets
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parental leave, menopausal support, an active wellbeing programme, training and development opportunities and much more. All of our staff benefit from a generous pension contribution as well. As part of
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training