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-performed Functional Imaging during Postnatal Stabilization Identification number: KA-NEONA-2025-003208 All applicants are invited to submit their application online via the recruiting platform. For further
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magnetic resonance imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data
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imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data acquisition
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activities in the field of cardiovascular, exercise and/or environmental and physiology; the applicant should have experience and interest in research using magnetic resonance imaging methods; participation in
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Dark Matter discovery experiments. A research group works on R&D of particle detectors for those experiments, as well as for its applications in medical imaging. For that it collaborates with MedAustron
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. • Training in mathematics, providing a solid analytical background. • Excellent communication skills, both oral and written. • Proficiency in computer applications, including MS Office and imaging software
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research infrastructure, including flow cytometry, specialised microscopy and imaging, spatial genomics, epigenome and proteome analyses, complex bioanalytics and structural biology. There is also a
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of primary cells, design of cell-based assays using flow cytometry and imaging techniques. Knowledge in the design and execution of basic animal experiments, as well as the formulation of lipid-based
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, optimization, calculus of variations, machine learning, magnetic resonance imaging (depending on the relevant subprojects ) Programming skills, e.g., in Python, Julia, or C/C++ (desirable) Excellent knowledge
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Chemistry as well as the opportunity to use large research facilities such as synchrotron light sources Innovative development work on new scientific instruments for X-ray imaging, combining hardware and data