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                of computational tools for analysis of omics and/or live-cell imaging data. Fluent oral and written communication skills in English. Desired qualifications: Experience with software development and programming (e.g 
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                . The position is set to begin on February 1, 2026, although there is some flexibility in the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN 
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                high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Expertise in statistical modeling for biological data Knowledge of enhancer-promoter interactions and 3D genome 
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                for analysis of Hi-C (or related) data Fluent oral and written communication skills in English. Desired qualifications: Experience with software and/or pipeline development (using e.g. Python, C++, or similar 
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                on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. The position is available for a period of 3 years. There is a 10 % component of the 
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                modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages 
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                package that centers on laboratory testing of a newly discovered human genetic knockout model population, as well as data analysis of large-scale registry data comparing mutation carriers to non-carriers 
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                include an educational component. This is the right position if you are highly motivated about fundamental science and excited about questions related to fluid flows, droplets, wetting phenomena and 
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                Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre 
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                analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate