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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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or MD/PhD Strong programming skills, preferably in R and/or Python Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
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environment and supports postdoctoral scholars throughout their postdoc with mentoring and training programs, seminar series, and annual retreats. The Huttenhain lab is committed to foster an inclusive
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, and traumatic brain injury patients. Building on a long history of transplanting hiPSC-derived cells to promote neural repair in pre-clinical models, this newly funded research program aims to develop
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stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
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those interested in exploring industrial and entrepreneurial career trajectories. Required Qualifications: Ph.D. in a physical science and engineering field Strong programming background Experience in
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an individual with strong statistical and computing backgrounds. Successful applicants should have a Ph.D. degree in epidemiology (or biostatistics or a related field). Strong programming skills in R are required
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families and to provide timely, actionable insights that inform policies and programs that help every child thrive from the start. The postdoctoral scholar will be advised by Dr. Philip Fisher, the Diana
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learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related