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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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Blindern, Oslo. Project description A fully funded Postdoc position is available on the development of geographic information systems methodology and spatiotemporal modelling for climate-sensitive infectious
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methodology and spatiotemporal modelling for climate-sensitive infectious disease forecasting. The work will contribute to ongoing efforts to build real-time, operational early warning systems in collaboration
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Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with
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, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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currently popular models, suggesting that a first cosmic CO detection could be imminent. COMAP is led by Caltech, and is supported by an international collaboration that includes University of Oslo, NASA’s
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sub-sampling experience Experiences with paleogeographic modelling and the GPlates reconstruction freeware Scientific programming (e.g., Python) All candidates and projects will have to undergo a check
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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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. Responsibilities will include data cleaning and management, performing quality checks, conducting statistical analyses applying causal inference methodologies, and contributing to the writing of high-impact