1,850 data-"https:"-"https:"-"https:"-"https:"-"GEORGETOWN-UNIVERSITY" Fellowship positions
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 days ago
(QSAR) models. The selected participant will learn to harvest and interpret toxicology data, develop and apply QSAR models, and communicate research results to both internal and external stakeholders
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, the projects consist of undertaking qualitative interviews, analysing qualitative interview data, undertaking and synthesising evidence from literature reviews and generating new research questions and funded
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, events, stakeholder engagement, and compliance with university policies. Research & Knowledge Translation Support: Support study design, data collection and analysis (qualitative and quantitative
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to applications received by 30 April 2026: Personal Statement (500-600 words) outlining the reasons for seeking the Fellowship, the applicant's career goals, and any other pertinent information relevant
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information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer
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is available for 24 months starting 1 Jan 2027 or as soon as possible thereafter. Further information and informal enquiries may be directed to Dr Aaron J. Cotnoir at ac117@st-andrews.ac.uk Benefits
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, RedCAP building and record maintenance for secure data entry, and the Clinical trial management system (CTMS). patient data management in accordance with IHC-GCP requirements, the candidate must
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are produced -- making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced -- moving toward smarter, data-driven processes