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through brand partnerships. Operationally, the role focuses on scaling a high-output team, mentoring full-time creators and a large student workforce while integrating emerging technologies like AI
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coordination of large-scale grant submissions (e.g., NIH P-series, U-series, R01 programs, international consortia). Ensure regulatory, data governance, and compliance standards are met for all CAW research
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experience. A Master's degree focused in finance, accounting or business administration Complex budget forecasting and modeling experience for a large organization. Fund accounting and zero-based budgeting
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professional judgment. Experience at a large university setting is preferred. Please submit a cover letter and resume with your application. Salary range for this position is $51,500 $52,500. The offer
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, certificates and description of previous professional activities electronically via the MBI online recruiting platform at https://mbi-berlin.de/career . The advertisement is open with immediate effect and will
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mission is to advance microbiome research by developing computational methods, large-scale data resources, and AI-assisted frameworks for understanding microbial function. The role: This position focuses
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An exciting opportunity has arisen to join the Centre for Social Care and Artificial intelligence Learning (SCALE) and School of Computer Science and Informatics. SCALE is funded by Health and Care
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Master’s degree in epidemiology, data analysis and biostatistics, AND who already has experience in analysing observational cohort data (multivariate statistical analysis, clustering, large-scale database
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that can be tested directly against large-scale viral genomic data. The central challenge of this project is to connect microscopic evolutionary mechanisms—mutation, selection, and ecological feedback
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large-scale clinical, laboratory, registry, or other health-related data (experience with Nordic registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding