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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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of new statistical methods). Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing
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limited to: Medical Imaging and Informatics (i.e., MR, CT, PET, Radiotherapy), Intelligent Medicine (using Artificial Intelligence, and Big Data), and Smart Biomedical Instruments (i.e., Wearable Device
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services by utilizing the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective scheduling
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neurobiology, immunology, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional
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neurobiology, immunology, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional
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must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence
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combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Eble group investigates
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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to the continued development of the specialist training programme in orthodontics. Research Initiating and leading research projects in orthodontics, supervising research fellows, and actively securing competitive