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these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 20 days ago
information from multiple endpoints. You will collaborate with FDA scientists to address multiplicity issues due to multiple looks and multiple endpoints and analyze adaptive trial designs using Bayesian
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students. The post holder will develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers that test whether local extirpation is
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develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers that test whether local extirpation is prompted by the same
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includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess. POSITION OBJECTIVE Working under general direction, the AI & Data Science Program Lead serves as a
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farms coexist alongside intensive fishing activity and a wide range of maritime uses. The objective is to analyse how the effects of wind farms at the individual level (e.g. fish, marine mammals) and at
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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qubits. Using software such as Qiskit Metal and Ansys, qubit designs will be constructed and simulated, with AI methods optimizing them to explore the trade-offs between multiple design objectives. It is
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over 70 researchers. Main tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case