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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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data collected, preparing high quality outputs, disseminating research findings to different audiences and completing administrative tasks related to the study. You will gain experience of conducting
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, conducting research, analyzing data, preparing the work for publication and disseminating results. The work of the post-holder is expected to lead to high-impact publications. Your main tasks and
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research, analyzing data, preparing the work for publication and disseminating results. The work of the post-holder is expected to lead to high-impact publications. Your main tasks and responsibilities
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collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or
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the location of employment is Oslo, Norway. The position encompasses possibilities for teaching tasks within TIK’s PhD, bachelor and master programs, including supervision of candidates and students
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
solid background in citizen science and/or societal engagement - both in theory and in practice. You have recently completed your PhD (or already have a date planned for your defence) and are a strong
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of neuroimaging data to predict subjective experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in