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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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to the timing of events and the results from performance optimization need to be included in the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory
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on pre-existing/collected data using Supervised/unsupervised fine tuning of the existing models (e.g., Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, Reinforcement
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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join Dr. Kelleher’s Neurodevelopmental Family Lab. This team includes over 30 members, including postdocs, graduate students, undergraduates, and staff who work together to facilitate research
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international standards in graduate education and is constantly improving its services in line with the needs and interests of doctoral candidates and postdocs. GRADE is to ensure the high-quality provision
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their research goals and curricular content, ensuring optimal subject and interdisciplinary qualifications tailored to specific needs. Additional support is offered by the GraduateCenter. Course organisation Scope