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analysing using quantum-enhanced machine learning. These include strong background both in classical machine learning, physics-informed methods, graph neural networks, and quantum algorithms. The work will
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and analytics. The post holder will develop new optimisation models and algorithms to support operational and real‑time decision making in disaster response contexts, with the aim of improving resource
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leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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quasiperiodic potentials, requiring modeling techniques capable of handling extremely large system sizes. In this project, we develop algorithms based on active-learning tensor-network tight-binding strategies
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Responsible AI 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 01.08.2029 Reference no.: 5509
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real-time decision-making. The field is developing rapidly across academia and industry. The network community spans expertise in neuromorphic computing, hardware and chip design, microelectronics
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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Framework Programme? Not funded by a EU programme Reference Number RS945 Is the Job related to staff position within a Research Infrastructure? No Offer Description Identifying and validating models
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Projects (BCP)'s premises in Stockport. Company Information: To find out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ Qualifications we require: Hold, or be about
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out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ . Qualifications we require: Hold, or be about to obtain, an honours degree (2.1 or 1st) OR master's degree in