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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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the German Research Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke, Dr. Marlen Fröhlich (both Tübingen) and Prof. Dr. Manuel Bohn
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the workgroup of Prof. Carmen Herrmann (University Hamburg), we will address two core topics of the Priority Programme 2491: (i) the impact of the interaction with the local environment on the molecular switches
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Closing Date: 28th July 2025 Sponsor: UKHSA Supervisors Dr. Marie McIntyre /Dr Roy Sanderson , Newcastle University Prof. Wendy Hardeman/David Turner, UEA Dr. Tom Inns/Prof. Roberto Vivancos, UKHSA
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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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for Structural Systems Biology (CSSB). The Department Virus-Host Interaction (Prof. Wolfram Brune) investigates the interaction of herpesviruses (e.g., cytomegalovirus) with host cells, determinants of cell and
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and Master’s students in Informatics and Data Science. Supervise Bachelor’s and Master’s theses. We Offer Practice-oriented research projects with leading academic and industry partners (like Google
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significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, sports, food safety, and environmental monitoring. By integrating electrochemical techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María