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foundations in classical probability theory and can be seen as a generalization of the Bayesian framework, bringing an additional degree of flexibility to express different types of uncertainty. In machine
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regression analysis to advanced multilevel models and Bayesian analysis to machine learning, among many others. Our two General Sessions , comprising more than forty classes, are offered in a dual-mode format
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neighborhoods to define using cellular protein expression, then implement appropriate computational approaches to define these neighborhoods (e.g., Latent-Dirichlet Algorithm, network analysis, etc.). Work with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
field # Knowledge of dynamical systems and network theory # Previous knowledge of pattern formation theory and of Bayesian inference methods is a plus # Previous programming experience in Python is
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Job Purpose To make a leading contribution to the ECOCHANGE (Ecosystem Consequences of Changes to Habitats and the implications for a Net Gain Energy approach) project working with Dr Kieran Tierney
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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methods, such as Convolutional or Bayesian Neural Networks, Simulation-Based Inference (SBI), Normalizing Flows, or Diffusion Models, is also a plus. The position includes a competitive salary, research
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-means, k-medoids, hierarchical); Reinforcement learning; Statistical learning theory (e.g., PAC, Rademacher, VC dimension); Graphical models (e.g., Bayesian networks, Markov chains, conditional random
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
surrogates from large ensemble runs. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1–16, 2023. Where to apply Website https
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
-driven sampling within hard-to-learn areas for simulation-based neural network training, NeurIPS ML4Phys 2023: https://hal.science/hal-04305233v1 Melissa: Simulation-Based Parallel Training, NeurIPS AI4S