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- Humboldt-Universität zu Berlin
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- Max Planck Institute for Political and Social Science, Göttingen
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- Christian-Albrechts-Universitaet zu Kiel
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- Max Planck Institute for Comparative Public Law and International Law, Heidelberg
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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Latin America proven proficiency of state-of-the-art social science methods (quantitative and/or qualitative) fluency in English and in Spanish or Portuguese Desired qualifications: experience with policy
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of extensive omics data adaptation and application of methods from explainable artificial intelligence to understand gene regulation at different levels of abstraction adaptation and application of foundation
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, including quality system implementation, documentation and method validation. We offer: An attractive environment in a pleasant, friendly working atmosphere with an excellent infrastructure. Compensation in
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- knowledge of modeling neural systems and the underlying biophysics - knowledge of computational neuroscience and mathematical methods - experience in handling neurophysiological data - advanced
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and an interest in pursuing a career in academia • Strong statistical training and quantitative research methods • Experience with programming languages such as R, Python, Stata, or Matlab is highly
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-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help us expand our work on the link between shingles vaccination and dementia/ cognition