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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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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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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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to apply Website https://recrutamento.ipleiria.pt/admin/manager/recruitment_processes/172 Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Additional
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day 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
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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methods. In the latter case, estimates and causal inferences will be made, and natural experiments will be analysed using econometric techniques. The project also includes dissemination activities and the
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics or Computer