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Field
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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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. The focus is on the development of original mathematical methods for AI and its applications aimed at the modelling and analysis of complex phenomena particularly within economics and finance, energy finance
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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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an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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experimentation and kinetic analysis. Harnessing this experimental data, the PDRA will also develop a concept design for a commercial recycling facility using process modelling tools to support environmental and
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pharmacological interventions. Advanced tissue and multi-omic molecular analysis (e.g., single-cell RNA-seq, transcriptomics, proteomics). Responsibilities* Research Leadership & Data Stewardship: Design, lead, and
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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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degree in biology or related subject and normally, a PhD in biomedical research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency
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, or similar systems) Experience or strong interest in: Benchmarking and evaluation of complex AI systemsm Robustness, uncertainty estimation, and failure-mode analysis, Deployment of AI systems in high-stakes
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with other faculty and researchers of the Center. Responsibilities: This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range