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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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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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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 the deployment and real
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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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. Application procedure Your complete online application must be submitted no later than 31 August 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given
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of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process . Applicants should
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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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for another three years. Prolongation of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be
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, Mechatronics, Mechanical, Geophysics, or a similar education. You also have to be able to fluently speak and write in English. Topics within the degree that will be seen as meritorious are: - Signal processing
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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning