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perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting institutions, backgrounds, and life
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availability, and internal equity. Pay Range: $73,800 - $93,000 The Bioengineering Department at Stanford University is inviting applications for an Engineering Education Fellow, focusing on curricular design
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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Center on Early Childhood. (link is external) The program is designed to train fellows to conduct work that is equity-focused—centering systemic equity as an outcome interdisciplinary—examining
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research design and/or data analysis exercise as part of the interview process. Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range
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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
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and inclusive research community at the forefront of scientific innovation. We are part of the Department of Obstetrics and Gynecology at Stanford University and Dunlevie Maternal-Fetal Medicine Center
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, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations are offered, active involvement
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impact on physiology, we aim to better understand GPCR signaling and to provide a solid foundation for the design and testing of novel therapeutics targeting GPCRs with higher specificity and efficacy