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Information Further information about this position is available via email from Professor Ahmad Rafsanjani (ahra@mmmi.sdu.dk ). If you experience technical problems, please contact our email support
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candidate will have the opportunity to: Establish new deep-learning-based algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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of the grading system used (credit system) + conversion scale to a 100-point scale. Students are not allowed to calculate this information themselves. If needed, students are advised to contact the student
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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rich curriculum that integrates economics, epidemiology, public health, and data science. HEPARD graduates obtain a strong international research network. Tailored and Flexible Curriculum: HEPARD’s
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analysis to extract information on atomic dynamics from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity at the single-atom level Understanding of atomic