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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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; contributing to (or leading) technical reports or manuscripts prepared for submission to peer-reviewed journals; and mentoring graduate students. Qualifications: PhD in mathematics or a closely related field
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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or neuropharmacology in the brain, spinal cord or enteric nervous system (ENS) and some experience with studies in both healthy and disease models; working in the field of neurogastroenterology and motility research
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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collaboratively in a multidisciplinary team are also required. Required Education: PhD in Engineering or a related field Required Experience: Experience with multibody dynamic and finite element modeling, human
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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of his/her scientific mentor to investigate how interoception circuits affect animal behavior using the zebrafish model; independently designs new analytical approaches and tools; performs experiments
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will be on developing new mathematical and algorithmic tools that advance our understanding of these areas and their connections. Possible research directions include explicit constructions of error