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Field
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(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
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: 0493-25 We are seeking a Research Associate to join Lancaster Medical School and work on the “FeetSee” project funded through a project grant from the Next Generation EU Programme: Implementation
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. Experience working on the theory, design, and analysis of quantum computing experiments. Experience in the design, simulation, and/or implementation of variational quantum algorithms, resource estimation and
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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. Position Specific Responsibilities/activities: Particularly for the project: Developing Quantum computing algorithms and methods including optimization and quantum machine learning algorithms, in particular
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream settings
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computational methods such as machine learning (ML), natural language processing (NLP), multi-modal large language model algorithms (LLMs), network analysis, and/or data mining to study the influence of digital
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position will work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream
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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical