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Field
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Award summary 100% of home tuition fees paid and an annual stipend (living expenses) of £20,780 Overview Interested in developing new experimental systems for previously unknown disease mechanisms
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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researcher positions for projects related to photo-electro-mechanical energy harvesting systems, including material synthesis, characterization, device integration, and material simulation. The IGK2495
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couplings enable self-alignment purely through geometry and contact mechanics, offering a fast, robust, and repeatable solution for high-tech applications. Although the concept of kinematic couplings has
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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leaflets. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid-state NMR
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being recorded. This project aims to uncover the neural mechanisms underpinning communicative challenges in socially anxious individuals. The second PhD candidate will investigate how socially anxious
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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solidification behaviour. Industrial Collaboration TPC Components, a leading Swedish foundry specialising in vacuum-cast superalloys for aerospace and energy sectors, will host experimental work and support
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isotope ratio mass spectrometry (IRMS) and gas chromatography coupled with mass spectroscopy (GC-MS), as well as other spectrometric methods Experimental and modelling analysis of relevant processes in