10 postdoc-computational-fluid-dynamics PhD positions at Susquehanna International Group
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Industrial Engineering Economics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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engine What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research
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Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with
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technologists to push strategies into production What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Statistics Physics Industrial Engineering Economics (more...) Management Science & Engineering Computer Science and
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Statistics Industrial Engineering Economics Management Science & Engineering (more...) Computer Science and
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on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build
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activities Self-motivated and quick to learn, thriving in dynamic, fast-moving environment By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Industrial Engineering Economics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural