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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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coding, automated testing, deployment, and ongoing monitoring of production environments. Required qualifications for the position: Proven experience in at least two of the areas in the job description
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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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. Use version control (comfortable on the usage of Git/GitHub) for collaborative development and code maintenance. Eager to document processes, communicate analytical results, and contribute to best
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children with special educational needs, including those with visual impairments. As part of the interview, candidates will be asked to bring an example of code they have written. A brief programming task
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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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of documentation Basic PLC programming and code maintenance (Beckhoff knowledge is a plus) Handling shipments and deliveries (forklift competence and driving certificate is a plus) Setting up test environments in
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Foundation Bioresearch Institute for the Green Transision (BRIGHT) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has
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on qualified candidates for the position. The Novo Nordisk Foundation Bioresearch Institute for the Green Transistion (BRIGHT) Recent progress in our ability to read and write genomic code, combined with