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                material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element 
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                23 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Computer science » 3 D modelling Computer science » Informatics Computer science » Programming Engineering » Computer 
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                associate positions. Dr. Wei Peng's group (www.weipengenergy.com ) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies 
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                associate positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies 
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                global climate action through modelling and data-driven Antarctic research 3 year fixed-term full-time role based in Hobart with relocation assistance considered About the opportunity We are looking for a 
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                Associate with experience in numerical modelling and a passion for Antarctica. With quantitative skills that include programming and ideally also ice sheet modelling, you will lead a novel investigation into 
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                models to examine flow, turbulence, sediment transport, and/or biological agents that occur on hillslopes, in concentrated flows, and within and near rivers. The postdoctoral associate will employ state 
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                Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping 
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                modeling is a benefit, ideal candidates will be expected to work together with domain experts rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able 
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                Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines