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motivated PhD candidate to conduct research in the field of evidence synthesis. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions
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Doctoral Network (MSCA-DN). CLIMB is a highly interdisciplinary Doctoral Network designed to advance our understanding of lipid membrane complexity and its potential for applications in biotechnology
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models that combine aspects from physics, computer science, AI and neuroscience. Approaches from mechanistic interpretability of neural networks will be used to understand and explain successful machine
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. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions that are continuously updated as new evidence emerges. This PhD position offers a unique
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of democracy and the crisis of trust, nature, and value through building a Nordic-based network of mid-career and younger scholars. Researcher- and PhD-training will be one of the means to build a democracy
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the development of state-of-the-art tools such as DarkSUSY and GAMBIT. The candidate will actively interact with the international network of collaborators associated with the project, and will in this context also
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build on recent research results in foundational neural network models. The work will be done in collaboration with Kongsberg Satellite Services in Tromsø. The position is located in Oslo, but regular
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wireline logs or well reports. You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with
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well as national sounding rocket programmes, and has an extensive collaborator network within Norway, Europe, and the rest of the world. The successful candidate will exploit measurements from high-resolution
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. Research areas within the section encompass e.g. gene regulation, RNA biology, enzymology and structural biology. Several of the research groups are leaders in their respective fields, with large networks