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to re-imagine our transport systems. The programme will build an increasingly ambitious suite of real-world trials with communities, transport providers and government partners. INFUZE seeks a
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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to link molecular mechanisms to tissue and organismal outcomes, a skill that is becoming increasingly rare and sought after. The current position offers the chance to build a scientifically distinct profile
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challenge is therefore to determine whether shared biological structure can be recovered across heterogeneous datasets or whether morphology is dominated by context-specific variation. The MirandaLab is
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new class of high-quality AM materials with lightweight, uniform structure and properties, high rigidity, thermal stability, and designed functionality. The proposed research is expected to lead to high
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, thin-film fabrication, dielectric device preparation, and electrical characterization. The work emphasizes understanding structure–processing–property relationships in polymer-based dielectric materials
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further qualification. Solid knowledge within electrochemical characterization Experience with chemical synthesis Experience with either electrolysers or flow batteries Experience with construction
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the first stage, we will thoroughly investigate the structure and quantum control capabilities of the proposed strongly polar molecules. Next, we will develop an optimal method for encoding qubit states on
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further qualification. Solid knowledge within electrochemical characterization Experience with chemical synthesis Experience with either electrolysers or flow batteries Experience with construction
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the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make