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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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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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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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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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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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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
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application at our online portal. Click on the “Apply now” icon at the bottom of the page to apply. The documents must be in Adobe PDF or Word. Applicants must submit the following documents: Cover Letter
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associated with the ‘Biomedical Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides