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letter for the offered PhD position to the contact person. Website for additional job details https://uach.sav.sk/education/phd-study/basic-informations/ Work Location(s) Number of offers available1Company
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of the director of the CMCA Northwest Arabia project, the researcher will be responsible for the study of ceramic assemblages from excavations and surveys conducted within several archaeological projects in
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chemistry Environmental science » Other Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Rome
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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» Condensed matter properties Physics » Acoustics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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- Participate in the training of French and Saudi students in ceramics study. Logistics - Contribute to the preparation of field missions, in collaboration with the director and project manager (definition
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-ceramic joining materials, with a focus on interactions during the joining process and under operating conditions Optimisation of experiments, measurement methods and measurement technology, including
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-quality, impactful research in high-temperature materials science, with a particular focus on phase transformations in ceramics, metals, and other solid-state systems. The PhD candidate will join the MSE
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular