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skills. Excellent programming skills in Python and Julia with experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Experience building complex software systems, preferably with industry
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-on experience that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's role in the creation and implementation
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for recording across multiple cortical/ striatal circuits •Optogenetic and electrical real-time perturbations, including interventions directly related to clinical deep brain stimulation. •Parametric
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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Benefits , Postdoctoral Landing & Postdoctoral Fellow Stipend (Download PDF reader) sites to learn more. The salary for this role is $78,000.00 per annum. The salary range or hourly rate listed is a
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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materials to jonc101@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water