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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 43 minutes ago
foundation models or one of the NASA Earth Science focus areas, and be familiar with the other. The ideal candidate will also have experience with high performance computing, including NASA's High End
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental
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language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimerâ™s disease (AD). You will have access to state-of-the-art computational infrastructure such as A100
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for therapeutic development. Perform high-throughput screening of immune-modulating compounds and assess their effects. Collaborate with interdisciplinary teams, including clinicians, bioengineers, and
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testing of high-fidelity models of endocrine-responsive breast cancer and analyses of multi-omic datasets spanning both models and clinical samples ● The successful candidate will be required to work in
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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, tensile testing, adhesion) Mammalian, bacterial, and/or fungal cell culture Confocal microscopy High-throughput experimentation Excellent writing and verbal communication skills Job Description: A Post
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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sponsored Post-doctoral fellowship in Biomedical Informatics. Its training prepares one for a career in academia or industry, performing research in the field of Biomedical Informatics. There is also