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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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position within a Research Infrastructure? No Offer Description https://www.isterre.fr/ You will join ISTerre's GRE team, which consists of around twenty people in Grenoble, and will mainly contribute
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with risk managers (i.e. the users of the project outputs) throughout the project, and to contribute to the application of further research funding. Where to apply Website https://valtiolle.fi/fi
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) throughout the project, and to contribute to the application of further research funding. Where to apply Website https://valtiolle.fi/fi/tyopaikat/senior-researcher-postdoctoral-researcher-dev… Requirements
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programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 29 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
supervisor Prof. Shiqiang Wang (https://shiqiang.wang ) has recently moved to the University of Exeter after nearly 10 years of industry experience in the United States. He will bring a unique vision, hands-on
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systems with a focus on optimal filtering (Bayesian filters, e.g., Kalman/particle filters) in the context of indoor/outdoor navigation as well as in the application areas of autonomous platforms and
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spectrographs with various spectral resolutions, operating from 0.5 to 28 µm. Our group has developed the Bayesian modeling tool FORMOSA (Petrus et al. 2023). It allows the inference of low-resolution (R = λ/Δλ