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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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position is available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics
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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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spectrometry approaches to elucidate molecular mechanisms of metabolic rewiring underlying cancer and aging. 2. Developing activity-based proteome profiling (ABPP) strategies to guide the development of chemical
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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 individual development in
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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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translate extracellular cues sensed by GPCRs into specific phenotypic outputs. Developing quantitative proteomics approaches to capture the spatiotemporal organization of signaling networks and combining
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to create “A Spatial Transcriptomic Atlas of Embryo-Endometrial Crosstalk During Implantation and Human Embryo Development”. This position is funded by a new collaborative grant between the laboratories of Dr
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cosmetics in India. The role includes developing and improving analytical protocols, conducting lab and field analyses and training other students and collaborators on analytical approaches. The start date is
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features. Using our recently developed chromosome engineering approach, we have created isogenic stem cell lines that allow us to precisely isolate the effects of the chromosomal abnormality from other