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/A (Logic and Philosophy of Science), research project "Critical History of Deep Learning". DEADLINE: February 2nd 2026, AT 1:00 P.M. CET Where to apply Website https://www.unive.it/data/50068/?id=2026
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knowledge of deep learning and computer networking/systems is required Experience with AI as a platform and expert use of AI as a tool strongly desired Experience implementing a language model is a plus Refer
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online at https://yourfuture.sdbor.edu . South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package including medical, dental
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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to operations team staff members. Learn more about admissions at Bowdoin: https://www.bowdoin.edu/admissions/ The hiring range for this position is expected to be: $106,000.00 – 120,000.00 BENEFITS AND
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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to build partnerships with IT and cross-departmental business leaders. Deep commitment to continuous learning, innovation, and change management. Working Conditions Hybrid, onsite and remote. Application
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corporations and foundations and trends that can lead to larger philanthropic commitments in support of Baylor's key initiatives Develop a broad and deep understanding of current fundraising priorities across
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-driven commercial contexts—is a key part of the role. The post-holder has a doctoral degree in Design, Materials Design, Materials Research or a related field, demonstrating deep and rigorous understanding