89 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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the liver microenvironment. Experiments will utilize animal models, cell culture including induced pluripotent stem cells, and human patient samples. Required Qualifications: Applicants should hold a PhD
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undergraduate course. The Fellow may not undertake any other sustained employment for the duration of their postdoctoral appointment. Applicants must have earned their PhD within the past 3 years. Advanced
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federally funded, interdisciplinary research program focused on improving healthcare delivery by studying and intervening in the human systems that support it. Based in the HEAL and Kim Labs at Stanford
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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Summer 2026, with the potential for renewal. Required Qualifications: PhD in education, economics, sociology, computer science, public policy, or a related field Demonstrated expertise in PK-12 education
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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
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV