9 parallel-computing-numerical-methods Postdoctoral positions at Heidelberg University
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is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through
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contributing to building an ambitious programme from the ground up. Job-ID: V000015284 Field of application: Zentrum für Infektiologie Location: Heidelberg Job Category: Science and teaching Working hours: full
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comparative research designs Strong track record in qualitative and quantitative methods Publication(s) in high-ranking peer-reviewed journals and/or strong evidence of publication potential Willingness
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research interest in social stratification, preferably economic inequality Demonstrated expertise in quantitative methods, such as panel data analysis and causal inference, including experimental designs
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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sociology You show advanced skills in methods of empirical social research You are committed to innovative teaching You have an excellent command of English and German; additional languages and/or area
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research projects. Your Profile Master’s degree (for PhD-level appointment) or PhD (postdoc-level), or equivalent expertise in epidemiology, biomathematics, applied mathematics, computer science, biomedical
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years) Contract:TV-L Your Tasks Contribute to use cases for novel diagnostic tools and develop and implement mathematical and computational models (microsimulation, agent-based, state-transition
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Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour