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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models
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analyses Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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semesters Beginning Only for doctoral programmes: any time Application deadline Open application rounds: 1 December - 31 January 1 June - 15 July Link will be available on our website: https://www.sfb1123
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of Manchester. Once fabricated, the materials will undergo a series of detailed characterisation and testing experiments using deuterium as a proxy for tritium at the University of Manchester including: Scanning
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of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD
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well as a varied educational training program including transferable skills and future (academic or non-academic) career training for after the PhD trajectory, in the context of our Career Perspective Series
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four years. Being part of a cutting-edge research programme, you will receive research training as well as a varied educational training program including transferable skills and future (academic or non
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Research Associate in our subproject of the CRC 1463 you will reproduce the wind conditions of the future offshore wind turbine megastructures in the laboratory and analyze the wake dynamics and turbine
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, comprehension, and attitudes. However, little is known about the factors that drive attitude change and intended future usage. This PhD project aims to address that gap by investigating whether narrative exposure