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of the bioprinting process. Objective 2: Training of a deep learning model to predict inputs that will achieve bioprinted scaffolds with the required print fidelity and scaffold micro-architecture. Objective 3
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. Objective 1: Optimise the cryoprinting process for fabricating poly(vinyl alcohol) (PVA) and gelatin GelMA-based structures with interconnected 3D pores and channels to achieve precise control over construct
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a transfer/confirmation process within the first 21 months of their PhD studies to progress from Doctoral-Track to full Doctoral student status. When you are admitted to doctoral studies, you are
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from TCPHI to develop a robust Research Proposal to be submitted as part of the application process. Trinity College Dublin will charge an application fee. You may receive notification following your
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. This frontier research project will focus on establishing a new intelligent, AI-driven bioprinting platform with volumetric process vision and closed-loop control. This technology will be leveraged to fabricate
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relevant discipline such as mechanical engineering or physics. Experience in laboratory testing or numerical modelling is desirable. Excellent written, oral communication skills, and competence in