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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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approaches to classify cap types from raw signal traces. Collaborate closely with experimental researchers to guide experimental design and interpret data. Contribute to publications, presentations, and open
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procedures independently. Contribute to the scientific direction of projects: develop hypotheses, establish new assays, and bring in your own expertise and interests within the lab’s overall focus. Design and
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). On the research side (www.denkglobaldx.org), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data
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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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(www.denkglobaldx.org), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and health-economic
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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of experiments in the framework of the scientific project plan Preparation and presentation of project reports and publications Your profile PhD in biology, biochemistry or equivalent Broad expertise in basic cell
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. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting researcher at the Stanford University School of Medicine. Job-ID: V000010072 Field of application