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will have master's level training in biostatistics, computer/data science (coding), or epidemiology. This position will work alongside our team's epidemiologist and clinical data manager, and primarily
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have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Demonstrated experience in computational methods, particularly in deep learning and computer
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, orientations, and workshops for both graduate and undergraduate students. Track event outcomes that inform future refinements of recurring events. Develop and implement communication plans and methods
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with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at https
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have pioneered the generation from human pluripotent stem cells of brain region-specific organoids (Nature Methods 2015; Neuron 2017; Nature Methods 2019; Nature Neuroscience 2019) and assembloids
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Postdoctoral
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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will be as a researcher in a two-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 30 minutes ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic
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/Administrative Internal Number: 7074542 Executive Sous Chef (On-site) Hiring Range The University of California, Merced is required to provide a reasonable estimate of the compensation range for this role