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focused on advancing computational methods for synchrotron, free-electron laser (FEL), and related scientific challenges. SciQC combines expertise in mathematics, numerical algorithms, high-performance
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addition to those of the Accountant I, ability to apply accounting principles to the analysis of complex accounting problems; analyze and interpret accounting data; prepare clear, accurate financial statements and
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methods, advanced survival analysis and causal inference) to utilise this data to address complex health policy questions. As part of the Population Data Science group, the post holder will be supported in
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of Oslo. Place of work is Department of Mathematics at Blindern, Oslo. We welcome applicants with a strong background in mathematical statistics (or related fields, e.g., probability, analysis), eager
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which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and
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and secondary resources. The group closely collaborates with other research groups at the Center for Sustainable Resources (CSR|Berlin, https://www.csrberlin.de ) at Freie Universität Berlin and beyond
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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well as help manage and direct this complex and challenging project as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance
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Description The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related
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stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex