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, and network traffic is measured on links rather than routes. Bayesian inference then requires sampling latent variables that satisfy exact constraints. Standard Markov chain Monte Carlo (MCMC) methods
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Job Description We invite applications for a PhD position focused on small-scale coastal fishing methods. The successful candidate will contribute to research supporting the development of low impact
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considerations and variational methods, is studied. The project aims at the derivation of new existence results for deterministic and stochastic partial differential equations, and the numerical analysis of
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two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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International Max Planck Research School on Trustworthy Computing The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max
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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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continuous-variable cluster states on chips or in fiber, with relevance to both MBGBS and universal measurement-based quantum computing. Explore methods for generating, injecting, detecting and using non
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
Chemistry at the Institute of Materials Chemistry, TU Wien. The group develops and applies electronic-structure theory, machine-learning methods and predictive calculations of defects and transport properties
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Computing Devices at CEA-Leti in Grenoble, you will contribute to the development of Bayesian learning methods suited to resistive memories (ReRAM). You will build on the team’s previous work, which
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PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Apply Vacant position PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Aalborg