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of time. Results from the project will be used to strengthen the research in the health informatics domain and the public health domain, through a cooperation with the Tromsø Study , the longest running population
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ID, characterization of its resistance profile and prediction of antibiotic susceptibility from a one-health perspective. The project consortium involves several national and international research
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, sensitive, and on-site detection of bacterial infection, pathogen ID, characterization of its resistance profile and prediction of antibiotic susceptibility from a one-health perspective. The project
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methodologies of statistics, logic, and machine learning in unique ways. Integreat's machine learning will solve fundamental problems in science, technology, health, and society, and contribute to make Norway a
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available at the Department of Clinical Medicine (IKM), Faculty of Health Sciences in the Translational Vascular Research group working on the project ´Characterisation of plasma biomarkers
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disciplines. Previous publications on a relevant topic are desirable. If you are near completion of your master’s degree, you may still apply. Applicants must document fluency of in English and be able to work
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on the project “The oral mucosa as a facilitator of cancer immune escape”. The position is affiliated with the Tumour Biology Research Group (TBRG) at the Faculty of Health Sciences , Department of Medical
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policy, and administrative activities will also be considered. The candidate must have a PhD degree in the field of epidemiology or public health. Knowledge of environmental contaminants and experience in
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of Medical Biology , Faculty of Health Sciences , affiliated with the Vascular Biology Research Group and the project "Imaging Ageing Endothelium at the Nanoscale". The position is funded by the EU Horizon
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with an international team consisting of clinicians, researchers in science and technology and health, industry partners, as well as personnel responsible for ICT, data security, privacy concerns and