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Join a leading research team and a cutting-edge European research project and help shape the future of reliable, sustainable power electronics. Job description The successful candidate will conduct
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8 Jul 2026 Job Information Organisation/Company Foundation for Research and Technology Department Institute of Electronic Structure and Laser (IESL) Research Field Engineering » Computer engineering
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Start Date: September 2026 Duration: 4 years (Structured PhD) Project Overview Applications are invited for a fully funded PhD studentship in Medical Biostatistics, Causal Inference and Statistical
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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structure and their growth by transmission electron microscopy (TEM) is hereby of crucial importance. During the PhD position, the candidate will use state-of-the-art equipment and local spectroscopic
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures
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hereafter. The duration of the position is three years. Your work tasks A PhD stipend is available in the field of power electronics, with a focus on developing reliable and circular substrate and integration
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About the project: Machine learning accelerated electronic transport calculations for complex materials Supervisor: Prof. Neophytos Neophytou, University of Warwick Advancements in materials
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/en/tms/jobs/ We are seeking two Research Associates (f/m/d) to work on the methodological development and application of advanced electronic-structure approaches, with the opportunity to pursue a PhD
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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor