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improving and extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term Memory (LSTM) networks and
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Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights from
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research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management. Work with research team to deliver the work
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in
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assembling the photonic processor, integrating it with ML models, and implementing the feedback loop necessary for the models' relearning capability. Scientific Area: Basic Sciences and Enabling Technologies
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days 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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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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to: -Identification and analysis of existing quality evaluation frameworks and models for the assessment of interlingual live captions, including the most frequent workflows used and in varied language pairs (EN-ES, EN