67 scholarship-phd-agent-based-modelling Postdoctoral positions at Technical University of Denmark in Denmark
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future time-predictable system based in the Wildcat RISC-V processor. This position will allow you to establish your independent research profile within the area of compilation, real-time systems, and
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modelling. It is expected that the degree of involvement in meetings and organisational tasks related to research projects will increase steadily during the employment. The following qualifications are highly
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. The positions offer a unique opportunity to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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. This will require both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. For the postdoc position, we are looking for a
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necessary. You have a natural flair for driving things forward on you own, and you like to create results based on knowledge sharing and positive teamwork. As a formal qualification, you must hold a PhD
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/sintering of functional ceramics Have knowledge of SOEC materials and technology As a formal qualification, you must hold a PhD degree (or equivalent) in mechanical engineering, materials science, or a
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unique opportunity to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by
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sediment transport predictions. These models will be based on an extensive experimental database containing historical experimental results (to be collected within the project). You will work together