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Field
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statistical approaches, with a strong emphasis on simulation and empirical data analysis. The position is ideal for someone with training in statistical, theoretical, or computational population genetics, and
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advanced clinical imaging, multimodal spatial profiling, and functional analysis of human tissues, we will generate unprecedented insights into the mechanisms that govern health and disease. The successful
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both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming
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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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, mathematical modeling, optimization, and scientific computing. Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable. Excellent
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The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green...
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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studies (QCM-D, AFM), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research
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at Department of Mathematics. Preferred starting date as soon as possible. The fellowship period is three years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo