810 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nature Careers
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spanning basic, applied, and clinical immunology. Successful candidates will enjoy access to cutting-edge core facilities, shared research equipment, and an outstanding DBBS graduate program. You will also
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. Applicants must have: A medical degree or a terminal research degree (PhD or equivalent) in a relevant discipline. An actively funded research program in basic or translational research relevant to bladder and
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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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to comply with all applicable federal, state, and local safety and health regulations that would apply to this job Nothing in this job description limits management's right to assign or reassign duties and
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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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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