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Field
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, translational, and population-based research. The group integrates psychological, biological, metabolic, and clinical data to identify disease mechanisms and molecular targets relevant to complex disorders
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widespread and getting increasingly established, a more fundamental understanding in terms of soft matter and complex liquid concepts is still largely missing. Importantly, the related liquid-liquid phase
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solutions. He/she will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring
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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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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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Søren Hauberg
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours 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