45 parallel-processing "UCL" "UCL" "UCL" Postdoctoral positions at Stanford University
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI
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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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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able
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, Speech & Hearing Sciences, or a related field. Substantial experience with at least one of the following: speech and audio processing, computer vision, eye tracking, or related computational methods
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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $76,383 - $130,000 Position Overview We are seeking a Postdoctoral Researcher in Human-Computer Interaction to join Dr
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following: speech and audio processing, deep learning, natural language processing, eye tracking, or related methods. Interest in children's language learning, and enthusiasm for working with naturalistic
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processing, statistical computation, methods development, data interpretation, literature review and manuscript/grant preparation. Additional Duties:• Supervision of undergraduates, graduate students and new
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with excellent communication, teamwork, data processing, problem-solving, written, and oral presentation skills. Required Application Materials: - Curriculum vita - Letter of interest - Contact
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer