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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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collaboratively, and excellent written and verbal communication skills. Candidates should have experience in one or more of the following areas: mitochondrial biology, membrane protein biochemistry
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colleagues, and national partners, exercising both independent research judgment and collaborative leadership. The post-doc will receive mentoring from the KEEN grant research team (Drs. Cheryl Bodnar, Rachel
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biologically and clinically meaningful disease subtypes, regulatory programs, and therapeutic vulnerabilities. This position provides strong mentorship, access to large clinical cohorts, and close collaboration
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control. Also required are strong written and oral communications skills, interpersonal skills for collaborative science and mentorship, problem-solving skills, ability to learn new research techniques, and
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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: Engineering | Electrical and Computer Engineering The Postdoctoral Scholar will conduct cutting-edge research in the areas of wireless networks and machine learning. The scholar is expected to collaborate
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, and close collaboration with experimental and clinical teams. Primary Responsibilities · Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA
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with prior experience in imaging to further their skills in brain imaging The Post Doctoral Scholar will work closely with CCBBI faculty, staff, and collaborators to learn foundational and applied
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will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision cut lung slices, transgenic rodent models, preclinical models of lung