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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
School and other relevant researchers at the Australian National University. In this role you will work within a team to help develop models of green iron and steel markets or other models, help develop
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of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org ), and also a main hub of the Earth BioGenome Project (EBP, https://www.earthbiogenome.org ) and a hub for innovation in high
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or runtime verification techniques for continuous dynamics and hybrid systems; Development of formal verification techniques and their integration in model-based design environments; Model checking of embedded
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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stem cell models that allow us to model disease and disease modifying factors. The successful candidate will be responsible for supervising graduate students, post-doctoral fellows, and undergraduate
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 14 hours ago
the Centre for Climate and Energy Policy (CCEP) within the Crawford School and other relevant researchers at the Australian National University. In this role you will work within a team to help develop models
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on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods