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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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health to improve the care and outcomes for mothers and babies, intervention and prevention activities. Training will occur under the direction of an assigned mentor. Learning Objectives: The purpose
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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Institute. Working closely with the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning
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Intelligence & Machine Learning Develop machine learning and AI models to identify, predict and characterise genome instability patterns. Design generative and predictive computational models to infer mutational
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experience learning how surveillance and research projects are conducted, including case-control studies designed to identify risk factors for birth defects and/or stillbirth. Learn to translate scientific
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to two years of research experience in visual computing, deep learning, and/or brain-inspired circuit and system design, and must have no more than five years of post-qualification experience at the time
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reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Background Screening The University
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. Learning Objectives: You will learn many innovative techniques (electrospinning and microencapsulation) related to the chemical modification of cotton and other natural fibers, nanoparticle synthesis and