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science field is required for this position. Expertise in modeling and/or experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials is
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experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials • Background in soft matter and/or data-driven research in polymer science
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after that. We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics
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Experience with programming, machine learning and managing large datasets Evidence of strong writing skills and a history of publications in soil science or related fields. Job Description: The candidate will
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is in scientific machine learning and/or numerical PDEs, aligning with research interests of Prof. Hailiang Liu. Topics of interest include data-driven modeling, optimal control with deep neural
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Science, Agroecology or closely related field Prior knowledge of bioenergy and sustainable cropping practices Experience with programming, machine learning and managing large datasets Evidence of strong
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Minimum Qualifications: PhD in Mathematics or related field.  Preferred Qualifications: ⢠Experience in scientific machine learning and/or numerical PDEs. ⢠Experience teaching and mentoring students
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in teaching, research and/or creative activity in one or more of the following areas: artificial intelligence and machine learning, environmental performance, structural optimization, and/or new
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the following areas: artificial intelligence and machine learning, environmental performance, structural optimization, and/or new materials technologies. Evidence of incorporating a scholarly approach
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AI, or a related area. We are especially interested in scholars who are applying AI in innovative ways for the teaching and assessment of writing, communication, and/or language learning