12 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at Stanford University
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using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell types and diseases, as
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by a new collaborative grant between the laboratories of Dr. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is
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to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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-doctoral program (https://postdocs.stanford.edu/ ). Required Qualifications: PhD, ScD, MD, DO, MD/PhD, or equivalent doctoral degree completed by appointment start date Degree in clinical field (nursing
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that contributes to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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. Mastro's and related program webpages, including posting publications and event announcements in coordination with Stanford communications offices. This is a one year fixed-term position. The position will
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, and providing feedback Manage a very busy calendar; arrange domestic and international travel, and complete reimbursements and payments Assisting with updates to Dr. Mastro’s and related program
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-author papers and present at conferences with the goal of helping the Fellow continue to build out a robust program of research. Timeline Application review will begin January 30, 2025. Applicants
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computer work and lab work to fieldwork. Other responsibilities include working under the supervision of Dr. Fiorenza Micheli and supporting graduate students and postdoctoral researchers in her lab on a
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measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project comparison. Supporting this program—and this position—are NIH