33 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Stanford University
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expectations. Assist with leadership and instruction in personal and athletic development of student-athletes, including overall team management in areas such as academic, disciplinary, and personal matters when
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of the world's leading teaching and research universities. Since its opening in 1891, Stanford has been dedicated to finding solutions to big challenges and to prepare students for leadership in a complex world
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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: Investigating the biological mechanisms governing urothelial exfoliation and regeneration. Optimizing stem cell engraftment after urothelial exfoliation Developing diagnostic and therapeutic tools to improve
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. Role & Responsibilities: Design and optimize large-scale electrophysiological and behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end
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future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create
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: $80,000 - $82,000 The Adolescent Ethnic-Racial Identity Development (AERID) Lab, under the supervision of Dr. Adriana Umaña-Taylor at the Stanford Graduate School of Education, is seeking a Postdoctoral
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. Responsibilities may include: Designing and conducting studies on the clinical impact of GLP-1 and other metabolic therapies Developing and applying computer vision and machine learning techniques to analyze