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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 days ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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Physics at Newcastle University hosts several active research groups in the areas of cosmology, observational astrophysics and astrophysical fluid dynamics. Available PhD projects include: Examining
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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least three years plus preparatory studies for the PhD of usually three semesters For international degrees, the equivalence will be judged during the application process. Candidates who have to follow
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments This PhD project is part of a close collaboration between Linköping
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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courses in October. Competitive stipends are available! Please visit our website for the latest information on financial support for PhD positions and the application process. On the site, you can also find
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Website https://www.academictransfer.com/en/jobs/357989/add-ream-3-phd-positions/apply/ Requirements Specific Requirements A Master’s degree in Mechanical Engineering, Materials Science, Industrial