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for academic development, interdisciplinary collaboration, and international networking Entry requirements We are seeking a highly motivated postdoctoral fellow with the following qualifications: A PhD (or near
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reconstruction from images taken by unknown rolling-shutter cameras, which is the overwhelming camera technology of today; machine learning with deep neural networks. More details can be found here
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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for Mathematics here and about the Algebra group at DTU and the corresponding research at the Algebra group webpage https://algebra.compute.dtu.dk/ . If you are applying from abroad, you may find useful
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to local communities and corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We operate with
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that enrolled over 1000 pregnant women in Los Angeles, CA. This position will involve analyzing complex epidemiologic datasets (including coordinating data and biological samples for analysis at collaborating
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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candidate will have previous basic science laboratory experience including rodent handling and colony management, rodent survival surgeries, auditory function testing, neurophysiology, microscopy, complex
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results from junior staff, formulate conclusions and inform team leaders. Develop, quality check, and distribute complex HIV data sets to be used in epidemiological and statistical analyses. Develop and
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Consortium and host extensive supercomputing resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http