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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in
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, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
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PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic
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of accession in the position. About the PhD-project A rapid evaluation of cell and tissue samples is essential for diagnosing and commencing treatment in patients with suspected leukemia, multiple myeloma
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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(e.g., Python, R, MATLAB) Background or interest in nature-based solutions and optimization techniques Experience in working with climate model outputs and scenario analysis is an advantage A proven
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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, statistics or similar field. Experience in the following topics is required: Proficiency in scripting language (Python or R) and maintaining code repositories In-depth bioinformatics experience working with
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers