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pragmatic, iterative mindset - prioritising what works empirically and is testable over purely theoretical correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass
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cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and reduced-order models, and contribute to publishing
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IMADA uniquely brings mathematicians and computer scientists together within a single department to foster theoretically well-backed, high-quality data science research. The department is home to numerous
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main tasks will consist of: Independent research of high international quality, including publication. As a postdoc you will perform cutting edge research using technologies such as spectral flow
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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infrastructure including compute servers and access to high-performance computing. The research climate invites for lively, open and critical discussion within and across different fields of research and a working
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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, teaching development, and program development, respectively, plus a small administration. We have a good collegial atmosphere characterized by a high degree of collaboration and continuous professional
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capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
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datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment At least one first-author peer-reviewed publication