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, Espoo), High‑Performance Computing Lab (Supervisor: Assoc. Prof. Maarit Korpi‑Lagg) Consortium collaborators include the University of Helsinki Stellar Astrophysics Group (Dr. Thomas Hackman, Dr. Mikko
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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-network surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment
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tasks 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
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide behavioral, communications and social science research support for strategic healthcare AI
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and Mammalian Cells Walther Lab @ Johannes Gutenberg University Mainz, Germany Max Planck Research Fellow Group @ Max Planck Institute for Polymer Research www.walther-group.com Keywords: Artificial
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with
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external partners, and undertake substantial workplace learning through the Integrated Work Study Programme. Our approach to education is explicitly competency-based, with a focus on demonstrated
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partners, and undertake substantial workplace learning through the Integrated Work Study Programme. Our approach to education is explicitly competency-based, with a focus on demonstrated capability