87 parallel-and-distributed-computing-phd Postdoctoral positions at Stanford University
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cell reprogramming. Required Qualifications: · PhD (or equivalent) in stem cell biology, developmental biology, molecular biology, neuroscience, or a related field. · Demonstrated expertise in cell
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. · Identifying roadblocks to hair cell regeneration by manipulating developmental signaling pathways and screening compounds that promote supporting cell reprogramming. Required Qualifications: · PhD
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. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: Your CV Brief statement
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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, computational approaches, and advanced microscopy. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following initial inquiry. About the Lab The Kalbasi Lab
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, California 94305, United States of America [map ] Subject Areas: Applied Physics Chemistry Materials Science Quantum Optics Computer Science (more...) Quantum Gravity quantum gravity/quantum cosmology Quantum
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental