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the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
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on a voluntary basis. Where to apply Website https://www.academictransfer.com/en/jobs/354609/postdoc-in-geometric-learning-d… Requirements Specific Requirements A PhD degree in applied mathematics
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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. These posts are suitable for newly qualified PhD's in areas such as health professions’ education, sustainability education, health services research, public health, psychology, sociology, etc. Experience
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candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science. The position requires experience with at least one of the
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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Type of Position Temporary Position Time Status Full-Time Required Education PhD or Professional degree Required Related Experience molecular, cellular, and in vivo breast cancer research Required
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job A PhD to work in Dr. Selmecki's lab in the Department of Microbiology and