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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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intelligence (AI) governance, Big Data, cybersecurity, data governance, knowledge commons, critical infrastructure protection, and smart cities. The post doc fellow will work under the mentorship of core faculty
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. Experience with cell state modeling from large-scale perturbation datasets, including Perturb-seq or related data. Experience with multimodal modeling for protein function or cellular state prediction
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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be
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15 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Environmental science » Global change Environmental science » Natural resources management Researcher Profile
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11 Jul 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Chemistry Researcher Profile Recognised Researcher (R2) Established
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
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State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University. | Spain | 22 days ago
research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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and machine-learning potentials for planetary materials. Curating and generating large-scale ab initio datasets across wide pressureâ“temperature regimes. Designing and training advanced machine
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at the intersection of human medical and population genetics. In particular, we have a strong interest in developing methods that uses genomic data to understand the evolution and architecture of complex traits and the