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University of California San Francisco | San Francisco, California | United States | about 1 month ago
. The primary research area will focus on applying advanced multimodal brain imaging, machine learning, and signal processing methods to evaluate patients with autism and related neurodevelopmental and genetic
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8 Nov 2025 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer science
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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of experience in Information Technology, Computer Science, Data Science, or related field. Education may be substituted for experience on a year for year basis. Six (6) years of relevant experience as a data
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have prior experience with experimental molecular biology techniques, tissue processing and imaging. You also have strong technical and analytical skills. Previous experience with disease models, cells
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, as well as clinical practice or other forms of appointment/assignment relevant to the subject area A completed doctoral degree in any of the following fields: computational science, scientific
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity and all qualified applicants
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility