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of genetic causes of POI. 4. Immunotherapy for autoimmune oophoritis. The project is interdisciplinary and seeks to develop new diagnostic tools and therapeutic strategies for POI, including a clinical study
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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the development of headache, and how headache impacts the Norwegian economy. The project applies advanced methods in epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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investigate genetic, epigenetic, and pharmacological markers of ASM-related risks using data and biobank material from the Norwegian Mother and Child Cohort Study. WP3 will examine the safety of newer ASMs in a
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: WP1 will analyze large-scale registry data from the Nordic countries and England to assess the safety of modern ASMs. WP2 will investigate genetic, epigenetic, and pharmacological markers of ASM-related
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archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
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duties after employment. Required selection criteria You must have an relevant background in ecology, evolutionary biology, quantitative genetics or mathematical statistics. Capability to learn and apply