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) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts of complex models. BioM is an
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getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
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for learning about models from data, 2) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts
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getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
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to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong programming and data-analysis competence; ability to produce reproducible workflows. Experience
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@astro.uio.no ) and Prof. Hans Kristian Eriksen (h.k.k.eriksen@astro.uio.no ). The main goal of this position is to implement a novel Bayesian re-analysis pipeline for Planck HFI in the Commander pipeline, and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Museum Objects and Reconciliation Ethics project (MORE) is funded by the Research Council of Norway
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. The position is part of the project MORE: Museum Objects and Reconciliation Ethics, funded by the Research Council of Norway, and we are looking for a research talent with the motivation to contribute to further
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years. The position is part of the project MORE: Museum Objects and Reconciliation Ethics, funded by the Research Council of Norway, and we are looking for a research talent with the motivation
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interdisciplinary Centre of Excellence funded by the Research Council of Norway (2023-2033) with the objective to generate novel knowledge about how to reduce inequalities in education. The interdisciplinary centre