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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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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
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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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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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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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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected