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Field
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this context, emerging cryobioprinting technologies present a transformative approach for creating complex, cell‐laden constructs capable of mimicking the architecture and functionality of native tissues
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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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? No Offer Description We are looking for a motivated and creative candidate to fill a position as a PhD student as part of the MSCA Doctoral Network “SPACER” (Shaping Porous Electrode Architecture
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disseminated in peer-reviewed journals. The candidates are expected to have an engineering degree, preferably in marine engineering and/or naval architecture ideally with an experimental and/or industrial
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of advanced materials, cell architectures and reactor concepts for CO2 conversion to syngas and high added value products. About the group: The work will be carried out in the Catalytic and Electrochemical
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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, architecture, mechanics, and function. The work will involve generating gene-targeted mouse models and characterizing them through histological, biochemical, and molecular analyses. Successful completion
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– Garth James UCD: Advanced microscopy for biofilm architecture – Tadhg Ó Cróinín ARI: Rodent infection models for chronic biofilms – Fintan Moriarty How to apply* Website: Formal applications must be