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established research groups investigating the spreading of alpha-synuclein aggregates and their functional and tissue-level impacts using histological, transcriptomic, behavioral, and in vivo PET imaging
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-resolution microscopy technology for single molecule imaging in intact cell and tissue samples, with the ambition that our findings may contribute to the development of new clinical treatment strategies
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—from soil science to crop breeding—to extract meaningful biological insights from complex imaging datasets. The successful candidate will design and implement software solutions for three key multimodal
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dynamic X-ray imaging, then come to DTU and work with us! We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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solution to carbon capture. During the Villum P2X Accelerator, we will focus on optimizing energy efficiency, designing a prototype, testing it with industrial partners using real flue gas, and scaling
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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Professor of Veterinary Clinical Neurology Section for Diagnostic Imaging, Surgery, and Clinical Specialties Dept. of Veterinary Clinical Sciences Faculty of Health and Medical Sciences University
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learning research. You have prior experience developing ML models for image processing and segmentation tasks You have experience in developing data pipelines for processing satellite imagery You study in a