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genetics. This position offers hands-on training in state-of-the-art experimental and computational methods, including single-cell genomics, chromatin profiling, quantitative trait locus (QTL) mapping, and
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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Requirements Proficiency in intermediate statistical analysis methods (e.g., regressions) and, if possible, advanced methods(e.g., hierarchical models, GLM, etc.). Proficiency in at least one statistical
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-documented informatic workflows, and advance AI-powered analytics including new methods applications and development to augment current OSU Microbiome Platform capabilities. Duties will include tracking
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 11 days ago
, experience sampling methods, or remote/ambulatory cognitive testing Experience in programming (R and/or Python) and data visualization Familiarity with fluid and imaging biomarkers
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in physics, applied physics or a related field Sound knowledge of Fourier optics, X-ray physics, and metrology Experience in experimental methods or development of instrumentation Experience with
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, psychology, applied mathematics, or a related field. Applicants must demonstrate strong research skills, experience with quantitative data analysis and statistical methods, and excellent written and verbal
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agotranslated into formal knowledge representations. These form the basis for the development and integration of semantic models into ontologies and knowledge graphs as a semantic layer of federated data