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on the intersection of robotics and control theory. Project description: This PhD project aims to develop learning‑based methods that combine expert demonstrations with experiential reinforcement learning to enable
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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. To learn more on working as a PhD student at ISY, please contact: isyphdcouncil@groups.liu.se . Starting date by agreement, but we expect you to start your employment no later than December 31, 2026
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which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. To learn more on working as a PhD student at ISY, please contact
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the study plan. To learn more on working as a PhD student at ISY, please contact: isyphdcouncil@groups.liu.se. Starting date by agreement, but we expect you to start your employment no later than December 31
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. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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application! We are looking for a PhD student in automatic control! Your work assignments In this project, you will work and collaborate within an international research project involving several of the world’s
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable