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Alpha Monetization. Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up · Risk Management. Oversee
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no generalised agreement about the qualities that determine whether the model is good or not. The focus of this project is whether the model is good enough for the point in a project’s lifecycle and not whether
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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-matter Bose-Einstein condensates (BEC) using optical signals in the telecom and infrared (IR) spectral ranges. Project background: The control methods are enabled by strong exciton-photon and exciton
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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interoperability and always-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods
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data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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% of full time E13. The position is associated with the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power