533 data-"https:"-"https:"-"https:"-"https:"-"MASSEY-UNIVERSITY" Fellowship positions in United States
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 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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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 days 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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ability to work both independently and collaboratively. Special Instructions Contact Information Melissa Mendez Contact Email mmendez@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered
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. Letters of recommendation will be requested from finalists only. A minimum of two (2) letters of recommendation will be required. Contact Information Daniella Rothstein Contact Email daniellarothstein
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representative publications, and names and e-mails for three references. All documents must be submitted here through the website; applications will not be accepted by email. Contact Information Hetchen Ehrenfeld
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for combat trauma, directed energy exposure, extreme environmental exposure, and/or toxicant exposure. You will participate in and learn to perform data collection and analysis pertaining to testing toxicants
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macular edema (DME), with potential expansion to other retinal indications, through network meta-analysis and patient matching methodologies applied to historical and recent clinical data. The participant
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data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll explore novel