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advanced machine learning and deep learning tools to decode the complexity of immune–tumor interactions, integrate multi-omics data at scale, and predict patient responses to therapy. The center works at
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tenure-track faculty hire in theoretical/computational biological physics. Candidates who incorporate machine learning approaches into their research program are especially encouraged to apply
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. Demonstrated expertise in interdisciplinary research with technical and clinical teams and patients desired. Experience leveraging machine learning for human musculoskeletal biomechanics applications desired
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. Candidates must demonstrate a passion for dental education. The successful candidate will have a strong desire to contribute to and participate in a humanistic and inclusive environment of learning and
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Dental Board website. Desired : A MS/or PhD degree is desired. How to Apply To be considered, please submit your application electronically via Workday. Application materials must include: Cover letter
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or PhD) in Health and Rehabilitation Sciences; Mentor students with diverse backgrounds and learning styles; contribute to the science of the profession through a focused scholarship program; and
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an education setting, proficiency in prosthodontics, and a strong track record of scholarly activity. Demonstrate a passion for student education. Apply advanced technology to enhance teaching and learning
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, functional in-vivo brain circuit mapping and connectomics, neuroengineering (brain-computer interface, neuromodulation), whole brain imaging, computational neuroscience, big data modeling, machine learning and