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Field
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available in the further tabs (e.g. “Application requirements”). Objective The programme “Future Network Weimar Triangle: Science for Europe” aims to expand the political initiative “Weimar Triangle
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Location: Dept of Engineering Science, Parks Road, Oxford, OX1 3PJ About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy (CS3) to join an international team of scientists working as part of the global AGAGE network and a large
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford
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for flexibility in the start and end dates, subject to approval by the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research
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, from genes and molecules to brain networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, part-time / full-time, in accordance with the project funding contract and the activity implementation
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics