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commitment to serving as role models for younger generations. The For Women in Science program was created out of a simple belief: the world needs science, and science needs women because women in science have
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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land and reservoars (lakes) and rivers will play an important role. Melting of snow and glacier will, with rain, form the source of water in the system. To be able to utilize the mathematical model
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experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging
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models, including large vision models Record of scientific initiative and creativity in research or development activities Capable of independently designing and executing experiments, interpreting data
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that support discovery and preclinical safety studies Generate and validate experimental hypotheses derived from AI models in collaboration with in vitro teams Publish research findings in peer-reviewed journals
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data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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distribution function and XAFS techniques. Ability to test and refine atomistic structure models against experimental x-ray scattering data. Ability to perform the essential functions of the job with or without
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-throughput sequencing data analysis. Experience working with and quantifying microplastics in complex samples. Experience with meta-analysis of genomics data and model development for predicting outcomes