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balance while maintaining the collaborative and relational nature of the position. To Apply: Interested applicants must submit a cover letter, curriculum vitae, and contact information for three references
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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
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours 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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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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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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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 18 hours ago
of novel PRO-based ER analyses of tolerability associated drug exposure related adverse events to inform standard ER analyses for safety and provide complementary tolerability data to improve dosage
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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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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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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior