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for publication. Preferred qualifications: Experience with super-resolution microscopy, coding (Phyton, Matlab), and machine learning is preferred. City of Hope employees pay is based on the following criteria
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learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in
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, along with the chance to become a part of the vibrant research community at the Oxford Internet Institute. Main duties include undertaking comprehensive and systematic literature reviews, coding of online
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, data collection, transcription, and data coding/annotation and analysis; (b) co-supervise student assistants in data collection and management tasks; (c) work in the research team with other
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 3 hours ago
Job Code: 15/2026 Job Offer from April 20, 2026 The Max Planck Institute for Medical Research is one of 85 institutes and research centers of the Max Planck Society (MPG) for the advancement
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to prepare monthly reminder call schedules, meeting agendas, develop written protocols and maintain FAQ documents. Other tasks may include generating figures for reports, coding and analyzing semi-structured
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be responsible for implementing codes and conducting analysis for efficient management of water which is key to adapting African agriculture to climate variability and its impact on water resources
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to up to three relevant works of research. Link to one or more public repositories illustrating coding work. Further details Job Description
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
coding a large social survey; the role will include undertaking social media analysis, interviewing and participating in focus groups, thought collectives and help with the transcription of interviews
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to energy-efficient artificial intelligence based on temporal neural computation. The project investigates how spiking neural networks, temporal coding, and learned neural delays can enable accurate