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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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discoveries made in the laboratory with meaningful improvements in patient care. You will be part of a research environment that values curiosity, creativity, scientific rigor, and continuous learning while
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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will possess a PhD or equivalent doctoral degree in an engineering or physical science discipline with some research experience related to critical minerals. They must be able to communicate
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motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline. Required
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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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therapy, with a particular emphasis on epigenetic regulation, radiation response, and treatment resistance. Our work leverages patient-derived organoids, engineered cellular models, functional genomics, and