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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
components for each ORISE fellow (computational, complex in vitro modeling - CiVM and bioanalytical). Computational: The participant will assist in the development of quantitative systems pharmacology models
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on preparations for follow-up funding. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly
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scientific conferences. · Be strongly encouraged to apply intramural or extramural funding for career development. Your qualifications should include: · A M.D. and/or Ph.D. degree in life
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development of the applicant's home country or region of origin. The fellows receive a monthly allowance of 2,700 EUR over a period of 6 to 24 months as well as additional benefits. Target Group young, early
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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Postdoctoral Research
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to the development of synthetic organic or polymer materials and their applications in sustainability. The candidate is expected to have a strong background in Synthesis, Engineering, or Materials Science. More
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely