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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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imaging research group and project “Natural Heritage 3D”. This collaborative project between Visual Computing @ DTU Compute, DTU Physics, Copenhagen University, and the Natural History Museum aims to
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from 3D electron diffraction, X-ray and neutron data. Data analysis and comparisons with simulations: Perform in-depth analysis and interpretation of magnetic moments and structural disorder from
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We are seeking a highly motivated candidate to undertake a PhD program titled " 3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition ." This exciting
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results
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partners Analysis of the results using specially developed, AI-based software that enables 3D reconstructions of element distribution Complementary analysis using other advanced techniques such as SIMS
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Copenhagen. Our group works with stem cell-based models to produce high-quality neuronal, glial, 3D and assembloid models. We use these to develop stem cell transplantation therapies for neurodegenerative
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for the analysis and integration of single-cell multi-omics data (scRNA-seq, scATAC-seq, Multiome) to reconstruct gene regulatory networks in 3D forebrain dorsal organoids to determine
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analysis Prior experience with, or a solid understanding of, radiative transfer modelling within vegetation is preferred Previous experience with (terrestrial) laser scanning and 3D modelling of forests
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to improve both predictive accuracy and biological interpretability. The PhD research fellow will primarily focus on developing data mining methods such as network analysis in 3D genome regulation