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Field
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and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
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, interpretation of modelling results, and publication-driven research Ability to work independently, efficiently, and with clear scientific judgment Fluent oral and written communication skills in English Desired
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is a full time one-year renewable appointment for a Postdoctoral Fellow with the Rural Health Equity Hub —an initiative spanning Nursing, Engineering, Divinity, and the Social Science Research
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU), Singapore, is a leading school for Sustainable Built Environment. The School plays an integral role
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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Research Fellow - Data Scientist/Clinical Data Engineer Job No.: 690434 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.5) Duration: 12 month fixed-term appointment Remuneration