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: modelling to explore the role of interfaces" awarded to Prof James Osborne (Melbourne), Prof Jennifer Flegg (Melbourne) and Dr Stuart Johnston (Melbourne) in collaboration with Dr Yohan Davit (CNRS, Toulouse
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opportunity to hone many aspects of their scientific skillset while participating collaboratively with Southern Research Station researchers. Learning activities will include: Learning to analyze forest
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will focus on developing efficient foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 3 days ago
technology, which has been identified as a rapid microbial method that aligns with current pharmaceutical industry trends, to better support submissions utilizing this approach. Researching collaboratively
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machine learning, data analytics, or computational biology. The ability to research independently as well as collaboratively, and a record of scientific productivity. Stipend $70,000.00 – $80,000.00 Yearly
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a wide variety of conditions. But the current generation of these models struggle to accurately capture interactions between watershed hydrology and crop performance. In collaboration with the mentor
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to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
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learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI
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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 22 days ago
international reputation as a leader in collaborative teaching and learning, research, and governance. To learn more about our university and the City of Ottawa, please visit www.carleton.ca/provost. Carleton
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collaborations with the NHS, government bodies, and industry—particularly within the region's flourishing digital sector. Our core research strengths include Artificial Intelligence and Data Science, Machine