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performance computing) services. We are looking for a new colleague for a newly established position, someone with insight into and interest in the technical aspects of FAIR data management solutions and
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution
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driving rapid growth in distributed energy resources (DERs), the electrification of transport, heating, and water systems — and the rise of hyperscale data centers. Coordinating these heterogeneous active
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by prof. Patrizio Mariani, Dr. Jon Christian Svendsen and Dr. Fletcher Thompson We offer DTU
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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quantitative analysis and modelling that integrates and handles various interdependent data such as technology characteristics, cost distributions and components, material choices, sizing of components and
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experience in all these areas is not required, candidates should demonstrate their capacity to undertake quantitative and computational research to address questions about epidemiological dynamics. A knowledge
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programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for excellent research, education, innovation and scientific advice. We offer a