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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, Healthy Plants, Healthy People, Healthy Planet , sets out our ambitious long-term goals
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of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essential A PhD or equivalent in Computer Science, Engineering or
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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should demonstrate: Strong analytical and problem-solving skills Organization and planning skills Strong oral and written communication skills Qualifications: PhD in a related field required Experience
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or equivalent Skills/Qualifications What we expect A doctoral degree (PhD) in science, preferably in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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documents should be uploaded as one PDF to the “other documents” selection in the application. 4. A personal research program vision statement detailing short-and long-term goals. The anticipated start date
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation