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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy
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Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field ranging from the study of quantum phenomena
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, biomedical sciences, or a related discipline. A relevant Master's degree is desirable but not essential. Experience in quantitative statistical methods is essential, and autism research experience would be
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mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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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
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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an international research team and receive generous financial support for a research stay abroad during their doctorate. The project is led by Prof. Dr. Marcello Ienca (TU Munich) and Dr. Lily Frank (TU Eindhoven
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an asset. Additional qualifications Working knowledge in statistics and infection biology is highly appreciated. Part of the DDLS program, to be employed as a PhD student, the applicant must be
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Supervisors: Prof. Reinhard Maurer, Prof. Scott Habershon In drug discovery, millions of molecules need to be screened for their viability as drug candidate, including their synthetic viability