116 developer-"https:"-"https:"-"https:"-"Dublin-City-University" PhD positions in Denmark
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. You will be part of a team pursuing the development of novel integrated data analysis diagnostic tools that address key challenges in the field of energetic particle physics in fusion plasmas, such as
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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development of computational tools that will enable automated structure-property correlation. The research will be supervised by Associate Professor Stavros Gaitanaros. Responsibilities and qualifications We
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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with the experimental group of Andras Kis at EPFL. Responsibilities The successful candidate will develop and apply ab initio computational methods rooted in many-body (perturbation) theory to explore
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between vehicles will be enabled through shared control, communication protocols, and mission planning, allowing them to function as a coordinated unit. The multi-vehicle platform will be developed by
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Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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and how they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is