1,459 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Nature Careers
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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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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, the only national lab in the State of Texas and one of only two laboratories conducting research on a university campus at Biosafety level 4 level in the U.S. Overall research funding is $176 million and
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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. The candidate will help to develop and teach courses in water and environmental systems at both the undergraduate and graduate levels. The willingness to work collaboratively and to mentor students from a range
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The ideal candidates are expected to perform research and teaching in the following areas: Electrical and Computer Engineering: Robotics and Embodied AI, Networks and Communication System, Devices
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commitment to education and student mentorship. Candidates must possess a doctorate in their respective field by the time of appointment. Please visit Colleges, Schools and Departments in CityUHK at https
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of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research