Anders Bjorholm Dahl

Two postdoctoral positions are open at DTU Compute (Technical University of Denmark) in computer vision , artificial intelligence , and large-scale X-ray tomography . The roles are part of the Visual Computing Section and the QIM Center , a research environment focused on computer vision, machine learning, computational imaging, and AI. The projects address the challenge of analyzing massive collections of volumetric 3D scans efficiently and accurately. Position 1: Postdoc in Computer Vision for Volumetric Image Analysis Focus areas include foundation models, efficient algorithms, scalable analysis of volumetric data, and AI methods for scientific discovery. Position 2: Postdoc in Large-Scale Tomographic Reconstruction Focus areas include reconstruction methods, scalable implementations, and methods for handling very large X-ray tomography datasets. The research combines methodological development with applications in two major domains: high-throughput digitization of natural history collections for biodiversity and evolution research, and large-scale cancer imaging to connect tissue morphology with patient outcomes and improve diagnostics. Ideal candidates should have a strong background in computer vision , machine learning , AI , tomography , computational imaging , and related scalable computational methods. The post does not mention a deadline, stipend, or specific eligibility constraints in the text provided. Interested applicants should use the linked job pages to apply for the relevant postdoc position. The poster also invites questions and encourages sharing with suitable candidates.