10 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions at Susquehanna International Group
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, you will work 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
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at Susquehanna, you will work 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
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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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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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comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with systematic
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the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized
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strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate
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education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with systematic traders and
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Economics Mathematics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry