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AS in Norway. The positions are funded by the EIC Pathfinder Challenge project STACK, the objective of which is to pioneer a mathematical framework and develop computational design tools for freeform
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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
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leading the TEDDY project, funded by the Hedorf and FDE Foundations. This project aims to develop and validate mathematical models that empower logistics companies to strategically plan for electrifying
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this background to: Develop innovative decision-making frameworks for seamless integrations with operations research techniques and machine learning algorithms. Develop algorithms and engineer systems which enhance
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demonstrate: - A Master’s degree in physics, applied mathematics, computational biology, or a related field. - Strong analytical and computational skills. - A passionate interest in interdisciplinary research
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on the TEDDY research project, which is funded by the Hedorf Foundation and the FDE Foundation. The overall research project is to develop and validate mathematical models that aid logistics companies in
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. The project includes the study of human and murine cellular models of neurodevelopmental delay and epilepsy using live cell imaging of neuronal activity. The purpose is to develop an imaging modality that can
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qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar solid mathematical and analytical skills experience in programming, e.g., in C++, Python
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Vesteghem, [email protected] , tel.+45 6166 7681. Qualifications You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data
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of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models