88 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at Stanford University in United States
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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 programming background
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, or a related field. Demonstrated expertise in process modeling, particularly in chemical or environmental systems. Experience with optimization software (e.g., WaterTAP) and programming languages (e.g
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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
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transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics, biostatistics
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fleet, and vendor collaboration with GE Healthcare. Personal ideas and collaborations with other groups in the Stanford Radiologic Sciences Lab are encouraged. Current collaborators include Dan Ennis
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or related techniques, and/or (3) computational biology are encouraged to apply. Lab overview: The communication between cells and their environment depends on decoding of extracellular cues into intracellular
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are seeking a postdoctoral scholar in computational biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity
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Posted on Thu, 05/29/2025 - 18:48 Important Info Deprecated / Faculty Sponsor (Last, First Name): Michel Digonnet Stanford Departments and Centers: Electrical Engineering Applied Physics Postdoc
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Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills