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into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
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visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally, candidates should possess a strong background in quantitative fields such as
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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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
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Studies Required Qualifications: PhD, MD or MD,PhD in Immunology, Cell Biology or a related field Required Application Materials: Letter of interest CV including publications and names of references
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includes contributing to the establishment of a new central laboratory resource, offering these advanced genetic tools to broader research initiatives. Required Qualifications: PhD Required Application
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Application Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay
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, Stanford PRL), career development resources, and competitive benefits and salary commensurate with experience. Required Qualifications: PhD in physics, electrical engineering, mechanical engineering
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p.m. PST. Required Qualifications: Applicants must have been awarded their PhD by August 31, 2025, and may not be more than three years beyond receipt of their doctoral degree at the start of
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods