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accurate representation of available transmission capacity, thereby reducing congestion and improving the integration of renewable energy sources. This method enhances market efficiency by optimizing spatial
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available for a period of 3 years. There is a 10 % component of the position which is devoted to teaching and administrative duties. UiO/ Anders Lien via Unsplash UiO/ Anders Lien Qualification requirements A
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departments in Oslo and several research groups at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods
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sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5
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pedagogical competency in the course of their fellowship period within the duty component of 25 %. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project
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of the employment period. Experience in experimental and computational mass spectrometry methods is an advantage. Experience in the preparation of bulk and single-cell BCR libraries is an advantage. Molecular biology
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the theories and methods intended to be used. The project proposal plays an important role in evaluating applicants and must demonstrate how the project will lead to the successful completion of a doctoral
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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a single method for anisotropic flow modelling for both ice and olivine, by mapping CPO parameters directly to anisotropic viscosity parameters. This technique should reduce the computation complexity
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predictions. To mitigate these effects, advanced ML techniques such as Bayesian deep learning, probabilistic models, and uncertainty quantification methods can be applied to enhance model robustness