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Postdoc position in Human-Centred Artificial Intelligence The Department of Computer Science at Aalborg University invites applications for a postdoc position working with Professor Niels van Berkel
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computationally efficient approaches to progressive damage modelling. It is natural for you to think in terms of hybrid modelling strategies that combine physics-based simulations with machine learning when
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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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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, Computational Physics, or similar. Who we are We are an interdisciplinary team working primarily with the development of numerical models for hydrodynamics. Current projects involve the model development
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks How do wireless-enabled embodied/physical AI systems, including
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework