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hosted at a different university but trained through a single, joint programme. Candidates may apply for one, two or all three positions via a common application (details below). Why join Noise 2050? 4
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) for general criteria for the position. Preferred selection criteria Background/experience within the following fields: Aeroacoustics Fluid mechanics Numerical methods Wind energy Personal characteristics
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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, so extra shelf life, to economical advantages. Perform an end-to-end supply-chain assessment method to map tradeoffs for different cooling technologies for selected stakeholders to get a holistic view
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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physically measured data to enhance the understanding of initiation of microcracks during glass cutting in the production environment. The different stress states and their influence on crack opening will be
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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
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responses and recovery patterns • Endocannabinoid measurements in blood, hair, and cerebrospinal fluid • Interactions between the endocannabinoid system, cortisol, and opioids • Sex differences in
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be involved in analyzing both experimental and clinical data, focusing on: • Stress responses and recovery patterns • Endocannabinoid measurements in blood, hair, and cerebrospinal fluid