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understanding of stress and resilience mechanisms. The project is an interdisciplinary effort bridging psychology, neuroscience, endocrinology, and pharmacology. We collect a range of outcomes to understand
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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for a more in-depth understanding of stress and resilience mechanisms. The project is an interdisciplinary effort bridging psychology, neuroscience, endocrinology, and pharmacology. We collect a range of
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technicians. Applicants should have experience in experimental fluid mechanics and aerodynamics. Prior experience in aeroacoustics is desirable. Applications are welcome from candidates currently pursuing
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reactions, mechanical tests and microstructure analysis under complex conditions. The experimental rigs have been developed by the primary supervisor, with unique capacity of conduct experimental work under
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, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
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flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase flow behavior. The project also involves applying
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of observational data #practical fluid mechanics experience in the lab or in the field #international research experience #academic publication record #willingness to learn German For further questions please
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the institute and with external academic partners Your profile Essential qualifications: a MSc degree in oceanography, fluid mechanics, geosciences, physics, mechanical engineering or related disciplines
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based on fluid mechanics, non-equilibrium thermodynamics and statistical mechanics. Further information about PoreLab can be found here: https://porelab.no/ The position reports to Professor Alex Hansen