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data. You will encode prior knowledge of the collisional processes in tokamak fusion plasmas using sophisticated numeric simulation codes, which will enable you to analyze data from tokamak experiments
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scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released
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, such as graph-based approaches with Retrieval-Augmented Generation (RAG) and fine-tuning of LLMs. • Contribute to developing open-source tools and code repositories • Produce high-level scientific
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Copenhagen area. The group develops the GPAW electronic structure code, the ASE Python library, and the TaskBlaster workflow framework. Substantial computational resources are available for the project through
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(highlighting relevant projects) Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale If you are mentioning previous experience with python code-based simulations
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conducted on qualified candidates for the position. The recruitment is taking place following the European Code of Conduct for Recruitment of Researchers , which all candidates are encouraged to study
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control, open-source background checks may be conducted on qualified candidates for the position. The recruitment is taking place following the European Code of Conduct for Recruitment of Researchers
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of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking the microstructure from the AM process to
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, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in women’s health, fertility