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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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, 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 Trader at Susquehanna, you’ll combine
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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 Researcher at Susquehanna, you’ll blend strong research
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Previous relevant research experience Publications Programming skills (R or Python
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria
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interest in historical research, migration, and digital infrastructures Familiarity with digital tools and languages such as Wikibase, SPARQL, RDF, Python, GitHub, and Jupyter Notebooks is highly desirable
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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take on administrative tasks in research, teaching and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent