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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
of communicative AI appropriation by students and teachers in secondary schools and how this is interwoven with the data infrastructures, design decisions, data models, and algorithms of AI platform providers and
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at Helmholtz Munich is seeking an ambitious and creative Postdoctoral Researcher (f/m/x) to explore this question at the intersection of single-cell epigenomics, comparative genomics, and evolutionary
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 13 days ago
/x) to explore this question at the intersection of single-cell epigenomics, comparative genomics, and evolutionary neurobiology. This ERC-funded project aims to uncover how gene regulatory networks
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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of the Biological Carbon Cycle - Combining molecular evolutionary and biochemical approaches, we will generate an integrative, comprehensive understanding of how microbes evolved the ability to capture CO2 billions
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on quantitative evaluation metrics such as algorithmic fairness paradigms. Applicants should hold a PhD in philosophy, law, cultural anthropology, or (qualitative) social science. The positions are fixed-term (6
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, macroecology, evolutionary ecology, and process-based modeling. We value interdisciplinarity, discovery-driven research, and a critical approach to modeling assumptions. More information about the group's
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hundred new defense systems have been discovered, many of which are the evolutionary origins of human innate immune systems. Despite these tremendous successes, little is known about how bacteria defend
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. The successful candidate will contribute to research on i) the genomic and molecular basis of brain aging, ii) the evolutionary processes underlying differences in brain aging rates, and iii) the identification
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security