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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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are accepted). References. Contact information for references from the PhD programme or previous employment are encouraged. The application and appendices with certified translations into English must be
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microwave cavities We seek candidates with the following qualifications: PhD in Physics or neighbouring fields Excellent communication skills in written and spoken English Ability to program in high-level
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Two fully-funded postdoctoral or PhD student positions in experimental mesoscale bioinspired materials, DNA nanoscience, and/or soft matter physics The university: Johannes Gutenberg University
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the Colleges of Medicine and Engineering. Applicants must have a PhD degree in Biomedical Engineering, Neuroscience, Biology, Physics, Medical Physics, or a related discipline. In addition, applicants must be
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qualities: Applicants must hold a Norwegian PhD or an equivalent degree within computer and/or information science, media studies or an AI related field. Applicants must have submitted his/her doctoral thesis
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computational research in one or more of the following areas: laser-plasma interaction, relativistic-quantum plasmas, or quantum computing for plasma physics. The position starts in 2025 on a mutually agreed date