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Field
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to detect and respond to emerging respiratory viruses. ANTICIPATE aims to strengthen pandemic preparedness by developing AI-driven tools and epidemiological models to (1) detect novel pathogens early through
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Antiseizure medications - a multimodal translational and epidemiological approach”, funded by Trond Mohn Research Foundation and University of Bergen. The project addresses major knowledge gaps regarding
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Epidemiology, your primary tasks will be to: Develop and validate novel computational tools for analyzing metagenomic data Publish peer-reviewed research articles on bioinformatic tools and their application
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of Medicine, Department of Clinical Medicine. The position is part of the project “SAFE ASM: Safe Treatment for Women needing Antiseizure medications - a multimodal translational and epidemiological approach
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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://www.academictransfer.com/en/jobs/354426/phd-candidate-prospective-breas… Requirements Specific Requirements You should be a creative and enthusiastic researcher with an MSc in epidemiology, biomedical sciences, technical
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experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
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. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled
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epidemiology and machine learning. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional support for research expenses
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent