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codes. You will have access to national and European supercomputers (Snellius, LUMI) and dedicated GPU hardware. Where to apply Website https://www.academictransfer.com/en/jobs/364617/phd-3d-radiation-in
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how chromosomes are folded in 3D. This 3D folding of the chromosomes typically allows distant genomic regions to interact. To gain a deeper understanding of genome evolution, including in non-model
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at the Department for Functional Materials in Medicine and Dentistry (FMZ) / Center of Polymers for Life (CPL), Julius-Maximilians-Universität Würzburg (JMU). The candidate will work on advanced 3D bioprinting and
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing mechanisms with Fe-SMA fibres, including activation, recovery stress
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using various model systems (BIO ). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/308656/phd-fellowship Where to apply Website https://www.jobbnorge.no/en/available
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PhD scholarship is linked to a successful NHMRC Ideas Grant investigating Non-invasive Dynamic 3D Phase-Velocity Field Imaging (PVFI) to advance epilepsy surgery eligibility and outcomes. About the
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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating
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impact. Furthermore, working at AMADE is not only a professional opportunity, but also being close to a stimulating environment with all our research lines in simulation and numerical modeling
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological