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Field
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PM. SCHEDULE OF FUNCTIONS FOR THE HIRING OF RESEARCH STAFF UNDER RESEARCH AND STRATEGIC LINES ESTIMATED TIME FOR THE EXECUTION OF FUNCTIONS: 2 years Experimental research and technical implementation
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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analysis team, contributing to data generation, processing, and delivery. The project will address key challenges such as advanced backscatter mitigation, improved scale factor estimation, and advanced post
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health
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, health and medicine, logistics, infrastructure, and industrial operations. The PhD project will focus on the intersection of machine learning, causal inference, and classical statistical methods. A central
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physics or theoretical chemistry, with interest in electronic-structure theory and method development. Experience in computer simulations and programming is advantageous. Very good communication and writing
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explainability characteristics. Familiarity with the technical and human-factors sides of human–computer interaction. The ability to work independently, communicate clearly, and navigate open-ended research
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feedback modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. Description of the SPARK4B+ project The position is within the EU