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guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution
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accelerating the green energy transition. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. You will be supervised by Professor Erlend Alfnes
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer
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position postdoctoral position within marine biogeochemical modelling at the Geophysical Institute , University of Bergen and the Bjerknes Centre for Climate Research . The position is for a fixed term of 3
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for this job See advertisement Job description Applications are invited for a three- to four-year fulltime position as PhD Research Fellow at the Faculty of Educational Sciences, University of Oslo, Norway
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Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational
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Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research
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collecting UAV, geophysical, and in-situ field data, all of which will be used for model calibration and validation purposes. The PhD candidate may participate in these activities if desired, although it is
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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Solutions”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity