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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 8 hours ago
—their long-term, low-dose effects in humans remain unclear, particularly in individuals with preexisting cardiovascular (CV) conditions. Conventional models fail to capture complex immune–cardiac interactions
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 months ago
vitro and In vivo modeling and learn about the advantages and limitations of the different models. You will be encouraged to use state of the art technologies to analyze complex data and to engage in
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 2 months ago
available datasets. Build scientific communication and knowledge translation skills through translating complex computational and methodological findings into accessible findings — including technical memos
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, and resource allocation, while developing business plans and ensuring adherence to budget and timelines. Identifies, defines, and resolves complex, non-obvious problems within existing systems and
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on topics in the science and theory of generative modeling, including (but not limited to): (1) diffusion language models, (2) reward tilting, (3) complexity of score estimation, and (4) sampling with advice
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computational techniques, and interpreting complex datasets. A key part of the role will involve preparing your research outputs for publication in peer‑reviewed journals and presenting findings within internal
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of complex mixtures of antibodies Interact and collaborate with scientists cross-functionally, gaining broad exposure to the process of drug discovery Make novel discoveries that contribute to the broader
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opportunities and engaging others with your ideas. Additionally, you can translate complex topics into compelling narratives, making them accessible even to those outside of the scientific community. Experience
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complex variables, and to shift priorities rapidly. Demonstrated success in working on complex, novel research problems in a collegial environment. Creativity, curiosity, and the desire, persistence and
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new quantitative methods. Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. A track record of first-author scholarly