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real-world applications? Are you fascinated by how the local dynamics of nearest neighbour models can determine the macroscale behaviour of a system? Do you want to understand how matter self-organizes
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Operations Research Economics 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
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be eligible for an agency fee. We don’t post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate. SIG is not
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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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intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow. Working
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project will be conducted in close collaboration with the Cardiac Physiology Group at the Department of Biomedical Sciences at the University of Copenhagen. This group is specialized in large animal models
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Engineering Operations Research Economics Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Systematic Trader at Susquehanna
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the listed topics is not a requirement, and we encourage applicants of different backgrounds to apply. We are looking for motivated candidates who work well in a team and contribute to a positive work
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Remuneration: AUD 36,063 per annum (tax-free stipend) (2025 rate) Monash Engineering is a leading global centre for research consistently placing highly in international ranking lists. We engage with industry
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain