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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join an exciting
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Engineering and Systems Data Science / Computer Science , Machine Learning Appl Deadline: 2025/11/10 11:59PM (posted 2025/09/24, listed until 2026/03/24) Position Description: Apply Position Description Duke
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teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
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, organization, communication (verbal and written), time management, project management and presentation skills Basic computer skills for applications and programs associated with the position (i.e., Microsoft
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computer skills for applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and follow up skills Strong customer service skills and phone and e-mail
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computer skills for applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and follow up skills Strong customer service skills and phone and e-mail
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computer skills for applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and follow up skills Strong customer service skills and phone and e-mail
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, organization, communication (verbal and written), time management, project management and presentation skills Basic computer skills for applications and programs associated with the position (i.e., Microsoft
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management and presentation skills Intermediate knife skills Basic skills with computer applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in