66 image-processing-and-machine-learning "UCL" Postdoctoral positions at Stanford University
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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(1-2) Applicants with expertise in one or more of the following areas are encouraged to apply: * Foundation Models * Agentic AI * Reinforcement Learning * Medical Image Analysis Position 2: Intelligent
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precursors of breast neoplasia progress to invasive breast cancer. They will be part of an interdisciplinary team of pathologists, immunologists, and computer scientists. The project builds on our previous
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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to work independently while contributing to a collaborative lab environment. Interest in learning new approaches across neuroscience, metabolism, genomics, imaging, physiology, or computational biology
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successful candidate will lead the design, operation, and characterization of high-enthalpy reacting-flow systems for methane pyrolysis and floating-catalyst chemical vapor deposition. Relevant reactor