73 programming-language-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Technical University of Denmark
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in English. Strong attention to detail and commitment to high-quality results. Preferred (most): Knowledge in reduced-order models for structural dynamics. Knowledge in nonlinear structural analysis
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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capabilities are required for writing documentation and for communication with colleagues in a multinational setting As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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processing contaminants in food, including 3-monochloropropanediol, and GE for glycidyl fatty acid esters - Operate, maintain, and troubleshoot advanced analytical instruments - Plan and support laboratory and
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. Strong attention to detail and commitment to high-quality results. Preferred (most): Python package development, and familiarity with modern software development practices (git, GitLab, CI/CD, issue
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proficiency in written English is a requirement. As a formal qualification, you must hold a PhD degree (or equivalent). The following knowledge and skills will be seen as assets: Experience in leading coastal
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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thin-film lithium niobate for cluster state generation. In common for the three projects: Develop new quantum computing protocols using CV states of light and hybrid detection technologies. Plan
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses