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of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable
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mathematical disciplines. This includes both fundamental and applied research in statistics (e.g., statistical methods for forensics, life sciences, topological data analysis, spatial statistics, and
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programme on 1 September 2026. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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programme on 1 September 2026 Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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AI methods to head towards a green transition. This is particularly important for environmental initiatives to achieve the targeted 2050 climate neutral goals of the EU as well as the United Nations
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methods and theories. You can work independently while contributing actively to a collaborative and inclusive research environment. Experience working with quantitative data, statistical analysis, or survey
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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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7346. Applications cannot be sent to this e-mail address, only applications sent via the online link as described below will be considered. You can read more about DTU Learning Lab at https
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, methods, technologies, and sustainable solutions within: Chemical and biochemical process engineering and production, Design of chemical and biochemical products and processes, Energy and environment
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the