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Field
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 7 days ago
validation of human-based in vitro and computational methods submitted to FDA for regulatory use. The developed models will be used to predict various toxicity endpoints and drug exposure to help provide
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of existing studies to promote the use of risk-informed decision frameworks, prediction models, AI applied to planetary protection. Tasks include: Support the creation of probabilistic models for planetary
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learning models applied to material modeling. Proficiency in programming languages, such as Python, MATLAB, Julia, and C++, and molecular dynamics programs, such as LAMMPS, to predict mechanical/electrical
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glycocalyx, which is essential for multicellular life. Glycocalyces accomplish critical functions in inter-cellular communication, controlling tissue development, homeostasis and repair, inflammatory and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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predictive and testable, through this end-to-end approach, with a particular emphasis on the Earth, Moon, Venus, Mercury, and Mars, but also terrestrial planets around e.g. a red dwarf star with orbital
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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simulations of compact binaries (including, for example, binary black holes, binary neutron stars, and black hole–neutron star binaries). The broader goals are to generate accurate predictions for gravitational
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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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, which includes the application addressed by the SATERA project in the domain of MLAT technologies for air traffic control. Nevertheless, achieving high reliability and robustness in federated settings