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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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Applications are invited for a Senior Researcher to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research into developing risk prediction algorithms
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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://dorienherremans.com/biblioPhD Fellowship in AI for Finance (AIFi Lab)The AIFi Lab explores innovative applications of AI in finance, with a focus on multimedia processing for AI trading algorithms, we work closely
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to develop basin-scale petrophysical models. Proven record of involvement in research projects relevant to oil and gas (O&G) and emerging energies. Ability to develop code/algorithms in Python or similar
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algorithms, development of the readout electronics for the photo-detection system, and development of the analysis framework for an analysis of oscillations in DUNE using atmospheric neutrinos. Over the next
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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deep learning algorithms by leveraging LLMs and compare them with traditional methods; and 4) develop a set of tools on the project's website that can be used to evaluate lexical complexity, readability
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the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic