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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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"Postdoc application - your name" in the email subject. Successful candidates will have a demonstrated track record of prior research accomplishments. FLSA Status Exempt Apply now Posting Start Date: 4/29/25
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
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of Engineering at the University of Birmingham and delivered in collaboration with industrial partners and the Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT) – one of five national hubs funded by
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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characteristics, reuse, recycling, and overall sustainability across various materials and applications. Our AM group is one of the largest in Europe, bringing together dedicated researchers, postdocs, and PhD
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/nucleus RNAseq and ATACseq, human iPSCs, Serial Block face EM, mouse genetics, biochemistry, cell signaling control, in vivo 2-photon live imaging, and translational pharmacology to peel back the layers