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Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale
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, immunology, or cancer biology. The ideal candidate should have experience conducting in vivo experiments with mouse models, possess excellent problem-solving skills, demonstrate strong attention to detail, and
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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models with massive amounts of real-world data to transform geophysicists' ability to solve the most difficult subsurface challenges. Two grand challenges targeted by the project are: 1) developing and
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and approaches in Genomics, Advanced Imaging, Biochemistry, Bioinformatics, Cell Biology, Mouse models, and Research Translation are desired. This is an ongoing recruitment. Positions are dependent