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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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missions intelligently and safely without revealing sensitive information? As a PhD candidate, you will develop verifiable, secure-by-construction planning and control algorithms, contributing to trustworthy
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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consists of method development, in which existing simulation techniques are further developed using machine learning algorithms to enable more efficient, scalable, and realistic simulations and material
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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home
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: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https://cprit.texas.gov/grants-funded/grants/rr230020 · POI-KB: Design and Development
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high-quality research across computational sciences and AI. We champion rigorous, reproducible and reusable computational research that advance the field from fundamental algorithm developments to large
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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Framework Programme? Not funded by a EU programme Reference Number AE2026-0200 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https