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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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postholder will undertake quantitative petrological research to investigate magma storage conditions and timescales of magmatic processes in the lead up to and during selected volcanic eruptions of target
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. This will include participant recruitment and communication with families, preparing and running testing sessions, managing and processing data, and contributing to protocol development and refinement. You
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materials. This project will make use of operando optical microscopy experiments to observe these phenomena in real-time during battery operation. The successful applicant will have the opportunity to work as
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materials. This project will make use of operando optical microscopy experiments to observe these phenomena in real-time during battery operation. The successful applicant will have the opportunity to work as
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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of processes through real-time data acquisition and analytics; component fabrication (additive manufacturing); characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); and
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the study of ultracold gases, including the operation of magneto-optical traps, the production of quantum degenerate gases and optical trapping using optical tweezers/lattices. They will be expected
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the 'Apply' button above. Informal inquiries can be made by contacting Professor Adrian Kent at apak@damtp.cam.ac.uk . For queries relating to the application process, please email LE45652@maths.cam.ac.uk