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. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and real-time agricultural decision-making
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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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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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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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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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, 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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: 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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—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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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