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linking the farm-level bio-economic model MODAM with macroeconomic Computable General Equilibrium (CGE) modeling approaches. We are offering a temporary part-time position (65% of regular weekly working
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Research Intern at Susquehanna, you will work
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative
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the material properties of these drying powders, with the aim of identifying the culprits of wall adhesion. The project is suitable for an applied mathematician, or physicist with a strong mathematical
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on numerical aspects of the network model analysis. Being part of the wider Mathematical Neuroscience research theme within the School of Mathematical Sciences which currently includes 7 members of academic
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motivated candidate with a strong mathematical background, particularly in one or several of the following areas: multivariable control, nonlinear control, robust control, matrix analysis, and convex
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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and Health Data Science Mode of study: Full or Part-time study is possible Project Description: The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort