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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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About the job: This Research Fellow post will contribute to the EPSRC-SFI project “Quantum control for robust ultracold atomic sensors (Croutons)”. The role will focus on research in the control
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-processing workflows for single-photon LiDAR and time-resolved imaging, including event-based or neural-network-assisted approaches for efficient extraction of information from sparse photon measurements, low
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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sensors. Additionally, you will contribute to the organisation of user studies and workshops, for co-designing and evaluating this technology with diverse participants, including disabled musicians. You
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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Skłodowska-Curie Actions Doctoral Networks MSCA DN Is the Job related to staff position within a Research Infrastructure? No Offer Description The position A PhD position is available at the Department
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well as become part of a wider international network of Mars scientists and engineers. The specific research direction will be shaped in part by the candidate’s interests and background. Possible avenues
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acquired instru-ment data, including spectroscopic measurements and solar energetic particle and plasma observations, as well as become part of a wider international network of Mars scientists and engineers
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network and participate in all relevant MishMash activities. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has