10 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF"-"https:"-"https:"-"https:" PhD positions in Denmark
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings
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resources, like source code, hardware design, videos, etc. A 2-minute video of yourself explaining why you are a fit for the position You may apply before obtaining your master's degree, but you cannot begin
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Professor José Luis Martinez Ruiz. The selection procedure will be open, transparent, merit-based and in line with the Code of Conduct for the Recruitment of Researchers . All the network institutions
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in
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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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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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, 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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Institute for the Green Transition (BRIGHT) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope
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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