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Field
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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improvements in energy efficiency and sustainability across the production chain. The Advanced Steel Research Group at WMG, University of Warwick, has developed a suite of models covering various stages
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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energy consumption. You will investigate the complete technology stack, including device physics, photonic and electronic design, modelling, chip layout, cleanroom fabrication, heterogeneous integration
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, experience in in vitro studies (cell culture, cytotoxicity or permeability), interest in or experience with in vivo animal models, and English at B2 level or higher will be valued. Specific Requirements
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of the molecular and cellular events that lead to vascular calcification in chronic kidney disease. Animal models for chronic kidney disease or diabetic mice will be performed to mimic human relevant diseases. By