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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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approaches to enhance existing experimental methods and better approximate real flow conditions in multiphase reactors. The Institute of Chemical Process Fundamentals of the CAS is a public research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics