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bioinformatics field. Developing specialized methods for automatic or semi-automatic, possibly visually aided evaluation and model selection of such algorithms. Developing tailored solutions to integrate domain
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly
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facilities and competences covering the whole chain of manufacturing, characterization, mechanical testing and modelling of fibre composites. Responsibilities and qualifications Do you have a strong research
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
, gases and applied potential conditions. The project will also include the development of advanced simulation models to characterize and predict moisture transport through gel substrate and interfacial
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to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials