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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No set minimum requirements. Required License/Registration/Certification None Physical Requirements This position
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employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html High quality and low-cost
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the interview process. Primary Responsibilities: Teach courses using an approved course outline to meet approved course competencies and learning outcomes in accordance with regulatory agencies Demonstrate
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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Description The Fuqua School of Business at Duke University invites applications for the position of Adjunct Professor to teach the course “Foundations of Capital Markets” in Fuqua’s MMS program in the fall
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
create an atmosphere of teamwork. Effective skills in verbal, written and interpersonal communications, however excellent communication skills are preferred. Computer literate. Knowledge and skill with
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*• Experience in Python or another programming language (projects, GitHub repositories, courses, scientific use).• Training or experience in machine learning and data science applied to environmental or energy