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within brain networks. Among several proposed mechanistic accounts, the Bayesian predictive coding framework has gained increasing prominence. According to this framework, perception of proprioceptive
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. Desirable Familiarity with supply chain management, operations, or organizational contexts. Experience with advanced statistical methods (e.g. multilevel modelling, causal inference, Bayesian methods
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embedded in the CCSS community. Nice to have Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Additional
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Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Our offer a position for 18 months, with an extension to a
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mechanistic accounts, the Bayesian predictive coding framework has gained increasing prominence. According to this framework, perception of proprioceptive input and voluntary movement is shaped by top-down
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) plan of activities for the Section, covering required competences and assignment of resources; Establishing annual objectives and managing and coordinating, on a day-to-day basis, specialised technical
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competence in three-dimensional Lagrangian Particle Tracking, Object-Aware Shake-the-Box algorithms and helium-filled soap bubbles seeding for large-scale 3D-LPT experiments. You are familiar with LaVision
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assessment and assignment: Establishing the multiyear plan of activities for the Section, covering required competences and assignment of resources; Establishing annual objectives and managing/coordinating
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-NASA MAGIC constellation, and is currently preparing the start of phase B2 as a mission of opportunity within the FutureEO-1 Programme. The objective of MAGIC is the long-term accurate monitoring
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programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. In particular, you will be part of the Causality team under the supervision