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animals using electron beams. Assist in commissioning and implementation of proton-based FLASH RT systems for preclinical use. Design, execute, and analyze in vivo and in vitro experiments evaluating
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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groups. The fellow will also help with grant writing to get practiced in the skill of academic fundraising that will be vital for their future career. Mentorship Structure The postdoc will be a member of
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Postdoc Application • Dr. Charles DeBoer cdeboer@stanford.edu (link sends e-mail) and; Horacio Sanchez Rocha hrocha7@stanford.edu (link sends e-mail) -Dr. DeBoer's Administrative Assistant Does
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spaces that focus on diverse perspectives. What lived experiences, demonstrated values, perspectives, and/or activities have shaped you as a scholar and would help you to make a distinctive contribution to
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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and collaborative department and to help define the future of Bioengineering education. The Fellow will train in evidence-based practices for curricular design and assessment methodologies and will
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Position in Stem Cell Neuroscience and Spinal Cord Injury and Repair. Dr. Irene L. Llorente, Assistant Professor in the Neurosurgery Department, is recruiting a full-time postdoctoral fellow for a CIRM
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for ambitious science. Position type: Full‑time; open to candidates from recent PhD graduates to established senior researchers. Required Qualifications: • Design, execute, and analyse high‑density