922 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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1990, OSF Children’s Hospital of Illinois has more than 7,000 inpatient admissions, 75,000 outpatient specialty visits, 2,400 newborn deliveries, and 18,000 emergency department visits each year. Learn
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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rhythms, sensory systems, learning and memory, decision making, and the circuits and computations underlying large-scale brain dynamics and motor control. WashU Medicine is one of the leading centers in
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
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) Teaching statement describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore
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describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore/Associate-Assistant
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successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit their application including CV
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Profile Responsibilities Design and implement analysis pipelines for high-throughput microscopy and sequencing data Develop novel image-analysis and machine-learning approaches for quantitative cell biology