213 developer-"https:" "https:" "https:" "Robert Gordon University" PhD positions in Denmark
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stipend is open for appointment only from 1 September 2026. Your work tasks A PhD stipend or integrated PhD stipend in accelerated materials discovery is available. Development of new sustainable energy
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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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electronically by clicking ‘Apply for position’ below or via this advertisement found at https://employment.ku.dk/faculty/ Your application should include the following documents: Cover letter Curriculum vitae
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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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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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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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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