1,334 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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, biology, computer science or related disciplines Strong computational skills, including machine learning, e.g. demonstrable project in a relevant field A strong first-author publication record in a relevant
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, immersive learning environment, and interdisciplinary collaboration across the natural and social sciences, engineering, and policy. DUML fosters a close-knit, hands-on academic community and offers
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Postdoctoral Position (f_m_x) in Environmental Seismology in an interdisciplinary ecohydrological...
(including time series analyses and machine learning) Good programming skills Very good communication and interpersonal skills, team player Very good command of English Experience in writing scientific
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Geosciences, Environmental sciences, Civil or Environmental Engineering, Physics or Mathematics or a related discipline Experience in programming (e.g., Python, MATLAB, or similar), interest in machine learning
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the organization. Your profile Bachelor's or master's degree in computer science, computer engineering, cybersecurity or a related field and relevant security certifications (e.g., OSCP, CCSP, CISSP, CISM) from a
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administrator, an accomplished scholar, a dedicated faculty mentor, a thoughtful colleague, and a true advocate for student learning and development. The dean will have the disposition to nurture and enhance
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, convolutional and recurrent architectures, and transformer-based models, as applicable to biological, imaging, and multimodal data Hands-on experience with machine learning and deep learning frameworks (e.g
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip