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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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quantitative field. Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas. Solid understanding of AI
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, including machine learning applications to Operations Management. Candidates should hold an advanced degree and/or equivalent combination of relevant education and experience. Applicants should submit
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University of California San Francisco | San Francisco, California | United States | about 14 hours ago
maintains documentation related to these duties. Incumbent operates and maintains sterilization equipment, decontamination equipment, and computer systems related to these duties. This position requires
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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of Mechanical and Aerospace Engineering at UCSD invites applications for a postdoctoral fellowship funded by the Gordon and Betty Moore Foundation focused on the topic of machine learning-based ocean state
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Machine Learning Applications https://www.upv.es/entidades/SRH/conypi/A1271105.pdf Where to apply
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a