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Field
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computational tasks throughout training period. Will develop, adapt, and implement novel research algorithmic techniques and software. Curates and analyzes data. Will work with state-of-the-art computing hardware
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Reliable and Efficient Adaptation of Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Cass Zhixue Zhao, Prof Nikos Aletras Application
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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and photonics technologies, including Quantum computing (use case, algorithms, optimisation and quantum machine learning); Quantum sensing (solution, product and use case development); Quantum
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In recent years
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contributing to workshops, collaborative programming, and curricular initiatives that center ethical data practice, algorithmic accountability, and structural analysis. Broadly, the ERC seeks GAs to support its
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Algorithms, including Applications in Science and Industry Generative AI and Creative Applications Responsible, Explainable, and Trustworthy AI (Ethics & Governance) AI Systems, High-Performance Computing, and
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science or applied computer science or related; • hold at least a professional title of Master of Science in Engineering or equivalent; • have experience in creating machine learning algorithms; • submit a declaration
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processing algorithms Development and implementation of novel pulse sequences Acquisition of high quality NMR data Interaction with other research groups, learning new techniques where necessary Close
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Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number SYG-2024/TEC-634 Is the Job related to staff