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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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Posting Details Position Details Title Multiple, Tenure-Track Faculty Positions in Computer Engineering Appointment Status Tenure Track Department IU Bloomington Vice Provost For Faculty Affairs
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
-disciplinary academic environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
Experience taking radiographs on both pediatric and adult patients Basic computer proficiency, including experience with imaging and dental software systems Knowledge of infection control policies and
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Reporting to the Director of Imaging Services, this Associate Director will foster a just culture and culture of innovation to develop an effective and reliable hospital imaging program across the OSUWMC
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instruments. Concepts, operation and maintenance of low temperature spectroscopic imaging STM including, quasiparticle interference imaging of correlated metals, topological states and superconductors
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems