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- University of Oslo
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Familiarity with SUMOylation, transcription factors, or chromatin dynamics Expertise in statistical modeling for biological data. Knowledge
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. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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SUMOylation, transcription factors, or chromatin dynamics Expertise in statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization What are we looking for in
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nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties
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an extensive paleo-proxy archive, in addition to designing and performing targeted modelling experiments. As a PhD candidate at the Geophysical Institute at the University of Bergen, you will also be
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE, Physics of Geological Processes (PGP) and
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our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in collaboration with a non-profit organization in Morocco, providing opportunities to test the concepts
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. Computational modeling in wastewater treatment processess. Qualifications Applicants to the PhD position must have a Master’s degree (120 ECTS) or equivalent higher education qualifications in Engineering