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, participation in conferences, etc. HOW TO APPLY Please send your application via the electronic application link by 30. 06. 2025 (please use the link in the Electronic Application section below) and please attach
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, the ideal candidate will also have an interest in developing quantitative data analysis skills. The PhD is supervised by Dr. Ann-Marie Creaven (expert in loneliness) and Dr. Aoife Whiston (expert in network
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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continental climate states using Earth-system model simulations Link model results to proxy data, in particular from the Deep Dust core Present the results at international conferences and publish them in
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Administration, Entrepreneurship section, at Umeå School of Business, Economics and Statistics with Prof. Norbert Steigenberger as your main supervisor. With this PhD project, funded by Lundbergs Foundation, we
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The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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sciences, law, economics, social sciences, medical research, natural, and life sciences. More information about LMU Munich https://www.youtube.com/c/LMUmunich/playlists About the GraduateCenter
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: The relation between climate change, health and work; The relation between health, income and the burden of COVID-19; You will conduct state-of-the-art statistical analyses using linked, population-level data