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Field
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of quantum algorithms that can be successfully executed. To improve the computational capabilities of current quantum computers, crosstalk errors and decoherence of a quantum computer need to be characterized
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the regulation of emerging technologies, the societal impact of algorithmic systems, ethics and governance of AI, and the evolving role of media institutions in the digital age. The successful candidate will join
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We are looking for a Research Associate to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms
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work with Ayan Paul at EAI and is expected to develop AI algorithms for drug discovery with a combination of public and proprietary data, develop AI algorithms for variant effect prediction with models
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of recurring processes. Respond to consulting requests requiring expertise in statistical methodologies and procedures. Provide statistical contributions to data mining operations and algorithm development
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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visual inspection. The research will address several challenges: Complex Surfaces: Developing robust algorithms (leveraging Convolutional Neural Networks and Transformers) capable of identifying tiny
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and expressing the mathematical properties of existing algorithms in preparation for publication and peer review. The algorithms are written, tested, and functioning. Timeline is ~3 months. Compensation
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graphics, rendering algorithms, and AI/ML-based appearance modelling, and will contribute to both the scientific advancement and public engagement aspects of this interdisciplinary project. Manchester has a
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and prior experience in the design and implementation of mathematical optimization algorithms. (18 points) Knowledge and prior experience with statistical prediction models. (10 points) Knowledge and