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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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) Rapid City Posting Text The Physics Department at South Dakota Mines invites applications for a postdoctoral researcher position to work on the germanium-based science and technology advancement research
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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs
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Specification Essential Criteria: Qualifications 1. A good first degree in Biomedical Engineering/Bioengineering, Mechanical Engineering, Computer Engineering or a closely related subject. 2. A PhD (or be