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We are offering a PhD fellowship in large animal translation cardiovascular medicine commencing 15 October 2025 or as soon as possible hereafter. The Department Department of Veterinary Clinical
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information from digital health technologies. Each PhD will be involved in a case study where data on patient reported outcomes, patient needs and preferences, and clinical outcomes will be collected with
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(Kingdom of the) [map ] Subject Area: Advanced Nearest Neighbour Models for Active Matter Appl Deadline: 2025/08/10 11:59PM (posted 2025/07/14, listed until 2025/08/10) Position Description: Apply Position
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, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
). The expected results are to create a new standard for automotive testing using RC, including VIRC. Update of IEC 61000-4-21 for large system testing. Information and application Are you interested in this PhD
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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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and motivation for the position. A proposal of a PhD project (7-10 pages, excluding reference list). The proposal should include the research question(s), the theoretical background, a discussion of the
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health, funded by UKRI. This post will be situated at KCL, working with and across this large disseminated UK-wide partnership spanning 10+ universities and other organisations across the country
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climate data and species distributions Collaborate closely with other researchers, including the other PhD students at CMT, and contribute to interdisciplinary discussions and dissemination of results
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reference list). The proposal should include the research question(s), the theoretical background, a discussion of the relevant literature, ideas on methods and data collection, and reflections about