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complex real-world data structures. Probabilistic graphical models (PGMs) have been well developed in recent years to mathematically model real-world scenarios in compact graphical representations
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Science and Nanotechnology (SMN), Faculty of Mathematics and Natural Sciences, University of Oslo (UiO), within the Centre for Defects in Semiconductors for Quantum Sensing (DSQS). DSQS is one of four
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analytics to transform complex datasets into insights for institution decision-making, strategy formulation, benchmarking, and policy development. This includes using mathematical and statistical techniques
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with overall healthcare solutions. Responsible for the analysis, design, testing and implementation of the most complex health system information systems and solutions. Acts as a subject matter expert on
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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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, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Discrete Mathematics, Group Problem Solving, Java, Perl
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science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons
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the Theoretical Ecology Group (http://bio.uib.no/te ). The ocean is a physical environment that is dynamic and variable in terms of e.g. light, temperature, and ocean currents. These provide constraints and
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either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning, or matrix factorization, is an advantage. Experience with management and analysis of large datasets
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science solutions in a business or research context, and experience of data transformation, data analysis and statistics. Ability to communicate complex technical information to non-experts and engage with