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– together. At the Division of Fluid Dynamics , we develop advanced experimental and computational techniques to investigate flows in both fundamental and applied contexts. Using state-of-the-art laboratory
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applications in fluid dynamics At least 3 publications in specialty journals indexed in relevant databases, corresponding to the project’s topic Specific Requirements The successful candidate will report to
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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being part of these two networks. Subject description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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APPFL and OmniFed. Major Duties and Responsibilities: Conduct and publish original research focused on data readiness methodologies and frameworks for scalable AI applications across fluid dynamics
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of the following qualifications: a PhD in fluid dynamics, oceanography, physics, applied mathematics or similar field; affinity with coastal simulations; strong skills in Python programming; motivation to cooperate
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological fluids. As a
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research visits within the international network program Instability phenomena in asymptotic models in fluid dynamics to institutes in Germany, and offers the opportunity to participate in subject related